Omdena | March 1, 2023
2023 has just started, and here is a list of 66 innovative medical imaging companies that are making a positive impact on society.
Introduction
Medical imaging has revolutionized the healthcare industry by providing valuable insights into diagnosing and treating various diseases. With the advent of artificial intelligence (AI) and machine learning (ML), medical imaging has become even more precise and efficient. The AI medical imaging market has grown significantly in recent years, with several startups and established companies investing heavily in this space.
These companies are leveraging AI technology to develop innovative solutions for medical imaging that can enhance accuracy, speed up diagnosis, and improve patient outcomes. In this blog post, we will explore the top 66 AI medical imaging companies and startups leading the way in this field and are expected to make significant contributions to the healthcare industry in 2023.
What is medical imaging?
Medical imaging refers to the techniques and processes used to create visual representations of the interior of a body for clinical analysis and medical intervention. Medical imaging technologies are used to diagnose, monitor, and treat various medical conditions.
These technologies involve the use of different imaging modalities such as X-rays, computed tomography (CT), magnetic resonance imaging (MRI), ultrasound, and positron emission tomography (PET), among others. Each modality provides different types of images and unique features suitable for various applications.
Medical imaging has revolutionized healthcare by enabling healthcare professionals to visualize the internal structures of the body, detect abnormalities, and monitor changes in the anatomy and physiology of patients over time. The use of medical imaging has improved the accuracy and speed of diagnosis and has contributed to better patient outcomes.
Why is medical imaging important?
Medical imaging is essential in healthcare for several reasons:
- Early Detection and Diagnosis: Medical imaging allows healthcare professionals to detect and diagnose diseases and medical conditions at an early stage, before they become severe. This enables timely treatment, which can improve the chances of successful outcomes.
- Monitoring Disease Progression: Medical imaging enables healthcare professionals to monitor the progression of diseases and medical conditions over time. This helps in assessing the effectiveness of treatment and making necessary changes.
- Guiding Treatment Decisions: Medical imaging provides healthcare professionals with valuable information about the location, size, and extent of abnormalities, which helps them in making informed decisions about treatment options.
- Minimally Invasive Procedures: Medical imaging plays a crucial role in minimally invasive procedures, such as biopsies, where the healthcare professional needs to precisely target the affected area while minimizing damage to surrounding tissue.
- Research and Development: Medical imaging is also important in research and development, where it is used to develop and test new drugs, therapies, and medical devices.
Medical imaging has transformed healthcare by enabling early detection, accurate diagnosis, and targeted treatment of various diseases and medical conditions. It has contributed to better patient outcomes and improved quality of life.
What are the types of medical imaging?
There are several types of medical imaging, each with its unique features and applications. Some of the most common types of medical imaging are:
- X-ray: X-ray imaging uses electromagnetic radiation to create images of bones and other dense structures in the body. It is often used to diagnose fractures, tumors, and lung diseases.
- Computed Tomography (CT): CT imaging uses X-rays and computer technology to create detailed, 3D images of the body. It is often used to diagnose and monitor cancer, heart disease, and other medical conditions.
- Magnetic Resonance Imaging (MRI): MRI uses powerful magnets and radio waves to create detailed images of soft tissues and organs in the body. It is often used to diagnose and monitor brain and spinal cord disorders and joint and muscle problems.
- Ultrasound: Ultrasound imaging uses high-frequency sound waves to create images of internal organs and structures in the body. It is often used to monitor pregnancy, diagnose heart and vascular problems, and guide needle biopsies.
- Positron Emission Tomography (PET): PET imaging uses a radioactive substance and a special camera to create images of the body’s metabolic activity. It is often used to diagnose and monitor cancer, brain disorders, and heart disease.
- Single Photon Emission Computed Tomography (SPECT): SPECT imaging uses a radioactive substance and a special camera to create 3D images of the body’s metabolic activity. It is often used to diagnose and monitor heart, bone, and brain disorders.
The choice of medical imaging modality depends on the type of medical condition being evaluated, the patient’s condition, and the healthcare professional’s expertise.
How is AI used in medical imaging?
AI is increasingly being used in medical imaging to improve the accuracy, speed, and efficiency of image analysis and interpretation. Some of the key ways in which AI is used in medical imaging are:
- Image Segmentation: AI algorithms can segment medical images into different regions of interest, aiding in the diagnosis, treatment planning, and monitoring of medical conditions.
- Detection of Abnormalities: AI algorithms can detect abnormalities in medical images that may be difficult to detect with the naked eye. This can aid in the early diagnosis and treatment of medical conditions.
- Quantitative Analysis: AI algorithms can provide quantitative measurements of medical images, such as tumor size and volume, aiding in treatment planning and monitoring.
- Personalized Medicine: AI algorithms can analyze medical images in conjunction with other patient data, such as genetic and clinical data, to provide personalized treatment plans.
- Workflow Optimization: AI algorithms can automate routine tasks in medical imaging, such as image pre-processing and quality control, freeing healthcare professionals to focus on more complex tasks.
The use of AI in medical imaging has the potential to revolutionize healthcare by improving diagnostic accuracy, reducing healthcare costs, and improving patient outcomes.
Top 66 Innovative Medical Imaging Companies and Startups in 2023
The order does not follow a ranking.
1. CancerCenter.ai
CancerCenter.ai
Cancer Center helps physicians work together to diagnose cancer faster and more efficiently. Thanks to state-of-the-art technology, experts can use software platforms to diagnose patients without the necessity to deliver non-digital images.
– Founder(s): Grzegorz Żurek, Karol Kozak, Piotr Giedziun, Piotr Krajewski, Witold Dyrka
– Founding year: 2017
– Headquater(s): Wroclaw, Dolnoslaskie, Poland
– Funding: Series Unknown
2. Subtle Medical
Subtle Medical
Subtle, Inc., is a medical imaging software company. Their goal is to improve the quality, value, and accessibility of medical imaging by significantly reducing cost, imaging time, and radiation dose.
– Founder(s): Enhao Gong, Greg Zaharchuk
– Founding year: 2017
– Headquater(s): Menlo Park, California, United States
– Funding: Series B
3. Encord
Encord
Encord is an active learning platform for computer vision. Encord provides one AI-assisted platform to annotate, orchestrate collaborative labeling and quality control workflows, find & fix errors in users training data, and train & diagnose models to deliver value from users’ AI initiatives faster.
– Founder(s): Eric Landau, Leeho Lim, Ulrik Stig Hansen
– Founding year: 2020
– Headquater(s): London, England, United Kingdom
– Funding: Series A
How do you define and measure impact?
Encord’s platform pioneers AI teams working in numerous sectors by enabling them to improve the quality, accuracy, and management of their computer vision datasets.
Encord saves costs, reduces model training time, and improves the efficiency of model development. Customers measure Encord’s impact in multiple ways, such as documenting the reduction in data annotation time and the time it takes for a model to move from development into production. They can also evaluate Encord’s impact on model performance by reviewing the errors and biases identified in datasets, the quality and accuracy of labels, and the performance of the model with respect to the data.
Encord has been used by world-leading healthcare institutions like RapidAI and Stanford Medical Centre where we have reduced experiment duration by 80% and processed 3x more images.
4. aetherAI
aetherAI
aetherAI is Asia’s leading medical image AI company with a particular focus in digital pathology. Dedicated to elevating the standard of pathological diagnosis and improving the quality of care, aetherAI strives to provide solutions for digital pathology transformation and AI-powered diagnostic support.
– Founder(s): Billy Kan, Joe Yeh, Steve Yeh
– Founding year: 2015
– Headquater(s): Taipei, T’ai-pei, Taiwan
– Funding: Series A
5. FUSE-AI
FUSE-AI
FUSE-AI is a software development company specializing in developing software based on deep learning methods. Their software is used to analyze medical image data, such as X-rays, CT scans, and MRI scans.
– Founder(s): Andreas Raguse, Hans Joachim Krebber, Matthew Steffen, Sabrina Reimers-Kipping
– Founding year: 2017
– Headquater(s): Hamburg, Hamburg, Germany
– Funding: Series Unknown
6. Nucleai
Nucleai
Nucleai Brings AI-powered spatial biology technology to the forefront of precision medicine to improve drug development, clinical treatment decisions, and patient outcomes. Nucleai works with leading pharmaceutical companies, licensing its research platform for internal use and collaborating in biomarkers discovery projects.
– Founder(s): Avi Veidman, Eliron Amir, Lotan Chorev
– Founding year: 2017
– Headquater(s): Tel Aviv, Tel Aviv, Israel
– Funding: Series B
7. Boneprox
Boneprox
Boneprox enables secure and efficient communication between dental and healthcare based on x-ray images, making clinics, dentists, and doctors more efficient in their diagnostics and improving general public health.
– Founder(s): Anton Kärrbrink
– Founding year: 2014
– Headquater(s): Göteborg, Vastra Gotaland, Sweden
– Funding: Grant
8. CARE MENTOR AI
CARE MENTOR AI
Care Mentor AI is a valuable service for interpreting radiological studies (CT, MRI, X-ray, etc.) built on a medical neural network. Care Mentir AI develops an artificial intelligence system for analyzing and interpreting the results of radiation research methods.
– Founder(s): Pavel Roytberg
– Founding year: 2018
– Headquater(s): Moscow, Moscow City, Russian Federation
– Funding: Series Unknown
9. BRAINOMIX
BRAINOMIX
Since launching as a spin-out from the University of Oxford in 2010, Brainomix has developed award-winning, AI-powered imaging biomarkers, assisting physicians worldwide to make better life-saving decisions.
– Founder(s): Andrew Barker, Michalis Papadakis
– Founding year: 2010
– Headquater(s): Oxford, Oxfordshire, United Kingdom
– Funding: Series B
10. Prognica Labs
Prognica Labs
Prognica, an AI-powered health-tech company, aims to improve clinical outcomes and accelerate the discovery of breakthrough advancements in the fight against cancer. Prognica analyses medical images and generates information and data to help predict and diagnose cancer using artificial intelligence and deep learning.
– Founder(s): Khalid Shaikh
– Founding year: 2019
– Headquater(s): Dubai, Dubai, United Arab Emirates
– Funding: Pre-Seed
11. Scan.com
Scan
Scan’s mission is to make medical imaging accessible to everyone worldwide. This is a simple yet powerful goal, as medical imaging is vital for diagnosing and treating medical conditions. By making medical imaging more accessible, Scan hopes to provide better healthcare to people everywhere.
– Founder(s): Charlie Bullock, Joe Daniels, Khalid Latief, Oliver Knight
– Founding year: 2017
– Headquater(s): London, England, United Kingdom
– Funding: Series A
12. Safety Soluções em Radioproteção
Safety Soluções em Radioproteção
Safety provides radioprotection services related to ANVISA’s RDC 330. Its services include Radiometric Survey (Radiometric Report), Quality Control, Shielding Calculation, elaboration of the descriptive memorial of radiological protection, evaluation of the integrity of Accessories and personal protective clothing in X-ray equipment, mammography, tomography, hemodynamics, among others.
– Founder(s): Renato Paciência
– Founding year: –
– Headquater(s): Itajaí, Santa Catarina
– Funding: Series Unknown
13. DilenyTech
DilenyTech
DilenyTech is a health tech startup that develops AI and medical imaging solutions to improve the quality of healthcare. DilenyTech provides a set of online and offline solutions for breast workflow (BE-SMART©) that were built for breast health professionals to improve and complement their diagnostic decisions and enhance screening and diagnostic workflow.
– Founder(s): Ahmed M. Ehab Mahmoud
– Founding year: 2016
– Headquater(s): Gizah, Al Jizah, Egypt
– Funding: Grant
14. QMENTA
QMENTA
QMENTA is a software platform for imaging-based clinical studies. Their solutions include data management systems, clinical trials, neuroimaging disease packages, neuro research, clinical care, and neuro-data services. Their cloud-based software solutions enable and build medical imaging management.
– Founder(s): Landon McKenna, Paulo Rodrigues, Vesna Prčkovska
– Founding year: 2013
– Headquater(s): Boston, Massachusetts, United States
– Funding: Debt Financing
How do you measure impact?
The QMENTA platform it is the world’s most valuable imaging platform, an anywhere accessible and compliant data hub to upload, visualize, analyze, and manage large volumes of medical imaging data, eliminating human errors and contributing to team collaboration in decentralized projects.
In our platform, you also can find offers over 50 imaging biomarker analysis to provide scalable, reliable, and reproducible analysis in medical imaging. An easy plug and play catalog that includes the most used open-source algorithms, top 3rd party developers, and the ones created by or expert team. As an example, we created a revolutionary Q-FiberMapper, that performs fully-automated reconstruction of major white-matter bundles with the extraction of quantitative diffusion metrics for white matter integrity, and with that helps neuroradiologists get a better understanding of the deep effect that traumatic brain injuries have on the brain.
15. Caption Health
Caption Health
Their mission is to detect disease early – when there is the highest potential for impact – by leveraging artificial intelligence and ultrasound. They are committed to transforming care, expanding access, and reducing costs.
– Founder(s): Charles Cadieu, Kilian Koepsell
– Founding year: 2013
– Headquater(s): Brisbane, California, United States
– Funding: Series B
16. Synapsica
Synapsica
Synapsica is creating AI-first PACS and radiology workflow solution that is fast, secure, and automates reporting tasks, helping radiologists create high quality reports quicker. Their goal is to enable radiologists with fast, easy to use AI technology that helps generate high quality, evidence-based reports to significantly improve patient care.
– Founder(s): Cherian Dr, Gandharv Goyal, Kuldeep Singh Chauhan, Meenakshi Singh
– Founding year: 2019
– Headquater(s): Bangalore, Karnataka, India
– Funding: Series A
17. Braid Health
Braid Health
Braid Health has built the first frictionless infrastructure for healthcare data and collaboration: FDA-cleared, secure, real-time, modality-agnostic, and AI-augmented.
– Founder(s): Alessandro Sabatelli, Kevin Quennesson
– Founding year: 2018
– Headquater(s): San Francisco, California, United States
– Funding: Series Unknown
18. RapidAI Vision
RapidAI Vision
RapidAI Vision is attempting to solve the largest problem in cognitive Surveillance: the analysis of vast amounts of data in the form of videos. RapidAI Vision is attempting to develop a system that can quickly and accurately analyze this data, making it easier for organizations to monitor their environments and detect potential threats.
– Founder(s): Vijay Kumar Gupta
– Founding year: 2020
– Headquater(s): Noida, Uttar Pradesh, India
– Funding: Series Unknown
19. AZmed
AZmed
AZmed automates fracture x-ray diagnostics, helping doctors to save time and dedicate resources to life-threatening exams. Deep learning technologies, as developed by AZmed, are fully integrated into doctors’ workflow, making it easy to use, without requiring any change in their work habits.
– Founder(s): Alexandre Attia, Elie Zerbib-Attal, Julien Vidal
– Founding year: 2018
– Headquater(s): Alexandre Attia, Elie Zerbib-Attal, Julien Vidal
– Funding: Seed
20. Promedius Inc.
Promedius Inc.
Promedius is a MedTech startup, based in Seoul, Korea, focusing on optimizing radiologists workflow of medical imaging interpretation to drive improved patient outcomes. Their platform, AIdant, is providing an AI-enabled medical imaging cloud solution for individual doctors, medical institutions, and teleradiology centers.
– Founder(s): Hyun-Jin Bae, Jong Chul Ye, Joon Beom Seo
– Founding year: 2019
– Headquater(s):Songpadong, Seoul-t’ukpyolsi, South Korea
– Funding: Series A
21. GLEAMER
GLEAMER
GLEAMER develops a suite of AI solutions for Radiology that encapsulate medical-grade expertise. The company wants to support imaging users to secure diagnoses for all patients at all times while improving efficiency.
– Founder(s): Alexis Ducarouge, Christian Allouche, Nor-Eddine Regnard
– Founding year: 2017
– Headquater(s): Paris, Ile-de-France, France
– Funding: Series A
22. Hasty.ai
Hasty.ai
Hasty’s data-centric ML platform allows companies with unique data to build and deploy vision AI applications faster and more reliably across any infrastructure – helping people bring value-added services to users product.
– Founder(s): Alexander Wennman, Kostya Proskudin, Tristan Rouillard
– Founding year: 2019
– Headquater(s): Berlin, Berlin, Germany
– Funding: Seed
23. ARTORG
ARTORG
The ARTORG is a Competence Center of the University of Bern and, together with the Inselspital, Bern University Hospital, creates the medical technology hub of Switzerland’s capital. In its unique constellation as an engineering department within a medical faculty, ARTORG has been delivering a decade of ambitious biomedical engineering research, teaching and development across a wide variety of clinical areas.
– Founder(s): Olivier Guenat
– Founding year: 2008
– Headquater(s): Bern, Berne
– Funding: Series Unknown
24. DDH
DDH
AI-Based Diagnosis and Treatment planning Automation Software for Orthodontic Treatments ① Deep learning-based dental Panoramic radiograph automatic reading solution ② Deep learning-based automated detection solution of cephalometric radiograph Landmarks ③ Automated simulation solution of orthodontic treatment result ④ Automated CAD software for Clear-aligner device design
– Founder(s): Soobok Heo
– Founding year: 2017
– Headquater(s): Seoul, Seoul-t’ukpyolsi, South Korea
– Funding: Series Unknown
25. KHEIRON MEDICAL TECHNOLOGIES LTD
KHEIRON MEDICAL TECHNOLOGIES LTD
Kheiron is going where only a few have gone before, seeking a new understanding of cancer and how to detect it using artificial intelligence and human insight. Ultimately they want to radically improve the outcomes for cancer patients by pioneering a new era of, what they call, precision radiology.
– Founder(s): Peter Kecskemethy, Tobias Rijken
– Founding year: 2016
– Headquater(s): London, England, United Kingdom
– Funding: Convertible Note
26. SignalPET®
SignalPET®
SignalPET improves pet healthcare and provides instant clinical answers by standardizing radiograph interpretation. They use AI and machine learning technology to analyze radiographs. The solution has proven to reduce radiograph interpretation errors, increase film utilization and reduce the cost of radiology consultations.
– Founder(s): Ben van Klinken, Lior Kuyer, Neil Shaw
– Founding year: 2018
– Headquater(s): Dallas, Texas, United States
– Funding: Series Unknown
27. Rology
Rology
Rology is a teleradiology platform solving the problem of radiologists shortage and high latency in medical reports through matching cases from hospitals from all over the world with the optimum radiologist remotely and instantly. And decreases the reporting time through the use of AI-enabled DICOM viewer
– Founder(s): Amr Abodraiaa, Bassam Khallaf, Mahmoud Eldefrawy, Moaaz Hossam
– Founding year: 2017
– Headquater(s): Cairo, Al Qahirah, Egypt
– Funding: Series Unknown
28. Intelligent Retinal Imaging Systems – IRIS
Intelligent Retinal Imaging Systems – IRIS
IRIS preventative screening for Diabetic Retinopathy is as simple and quick as taking a patient’s blood pressure or stepping on a scale, and can be just as helpful to physicians in helping to detect eye disease or other disorders.
– Founder(s): Sunil Gupta
– Founding year: 2011
– Headquater(s): Pensacola, Florida, United States
– Funding: Series Unknown
29. HeartLab
HeartLab
HeartLab is a company that is revolutionizing the field of cardiology through the use of artificial intelligence. By leveraging advanced machine learning algorithms, HeartLab is able to provide physicians with the most accurate and up-to-date information about their patients’ cardiovascular health.
– Founder(s): Patrick Gladding, Will Hewitt, Zaid Ismail
– Founding year: 2018
– Headquater(s): Auckland, Auckland, New Zealand
– Funding: Seed
30. Qubiotech
Qubiotech
Qubiotech is developing a full ecosystem of computer aided diagnostic applications called NEUROCLOUD. This is an online platform which hosts clinically validated quantification algorithms for aiding in the diagnostic of neurological diseases.
– Founder(s): Pablo Aguiar-Fernández
– Founding year: 2014
– Headquater(s): A Coruña, Galicia, Spain
– Funding: Series Unknown
31. Quantivly
Quantivly
Quantivly provides data liquidity and analysis tools to help radiology providers make smarter decisions, increase access to medical imaging for the population, and deliver on the promise of patient-centered healthcare. It is an imaging provider of information about radiology operations.
– Founder(s): Benoit Scherrer
– Founding year: 2019
– Headquater(s): Boston, Massachusetts, United States
– Funding: Pre-Seed
32. Imagerie.fr
imagerie.fr
Imagerie.fr is the leading French operator of local medical imaging centers and the market leader in its field. Their main objective is to bring the benefits of radiology everywhere in France, especially where it is about to disappear.
– Founder(s): Éric Lebihan, Pierre Durand
– Founding year: 2020
– Headquater(s): Paris, Île-de-France
– Funding: Series Unknown
33. Hexarad Ltd
Hexarad Ltd
Hexarad is an end-to-end radiology platform built to achieve their mission of fast and accurate diagnosis for everyone, everywhere. Hexarad, and their proprietary workflow optimization tool Optirad, are focused on solving the problem of there being too many scans but not enough radiologist capacity to report them.
– Founder(s): Dr Amy Davis, Dr Farzana Rahman, Dr Jaymin Patel, Dr Sam Dumonteil
– Founding year: 2016
– Headquater(s): London, England, United Kingdom
– Funding: Series A
34. Mediwhale
Mediwhale
Mediwhale is the AI-empowered health diagnostics company that uses non-invasive retina scans to help prevent heart and kidney diseases. Mediwhale’s Reti-Intelligence suite of services uses deep learning algorithms to detect disease risks even before symptoms appear.
– Founder(s): G.Young Lee, Kevin Choi, Tyler Rim
– Founding year: 2016
– Headquater(s): Mapo, Seoul-t’ukpyolsi, South Korea
– Funding: Series A
35. Perceive3D
Perceive3D
Perceive3D has developed a video-based surgical navigation system for arthroscopy and orthopedic surgery that combines intelligent video processing for 3D mapping of the anatomy with Augmented Reality (AR) for overlaying meaningful guidance information in the video, empowering orthopedic surgeons with real-time 3D information during surgeries.
– Founder(s): Joao Barreto, Rui Melo
– Founding year: 2013
– Headquater(s): Coimbra, Coimbra, Portugal
– Funding: Grant
36. Cureskin
Cureskin
Cureskin is an all-encompassing service that provides users with simple, tailored solutions with holistic lifestyle guidance to help keep people skin and hair looking healthy. At Cureskin, its mission is to assist people to achieve their skin and hair goals with scientifically-backed dermatological solutions from the comfort of their home.
– Founder(s): Guna Kakulapati, Ramakrishna R
– Founding year: 2016
– Headquater(s): Bengaluru, Karnataka, India
– Funding: Series A
37. Therapixel
Therapixel
Therapixel is a leading french software company specialized in artificial intelligence for medical imaging. Their aim is to develop a digital radiologist achieving the performance of best experts.
– Founder(s): Olivier Clatz, Pierre Fillard
– Founding year: 2013
– Headquater(s): Nice, Provence-Alpes-Cote d’Azur, France
– Funding: Series B
38. Manjila & Singh Innotech Private Limited
Manjila & Singh Innotech Private Limited
MANJILA & SINGH INNOTECH PVT LTD (MASIT) is a physician-owned innovative health-tech company focusing on bringing advanced medical technology to the Indian healthcare sector. Conceptualized and created by medical doctors who have experience in India and the USA, the Founding Team of MASIT understands the pulse of the Indian healthcare industry and the challenges healthcare professionals face.
– Founder(s): George Vijay, Sunil Manjila
– Founding year: 2014
– Headquater(s): Cochin, Kerala
– Funding: Series Unknown
39. Covera Health
Covera Health
Covera Health is a clinical analytics company, is pioneering quality-based solutions for payers and providers that enable the measurement and delivery of high-quality care. The company’s services include analyzing clinical datasets in unique ways to drive the emerging science of quality and partner with doctors to help them deliver, enabling employers and payers to improve patient outcomes and reduce inappropriate healthcare spend.
– Founder(s): Raz Winiarsky, Ron Vianu
– Founding year: 2017
– Headquater(s): New York, New York, United States
– Funding: Series C
40. Enlitic
Enlitic
Enlitic Inc. is a pioneer in medical deep learning that leverages proprietary algorithms to quickly and accurately improve healthcare diagnosis. With a platform developed by renowned data scientists, machine learning practitioners, and medical experts, Enlitic is able to analyze a wide variety of healthcare data sources, including billions of clinical cases, to improve diagnostic accuracy, speed, and patient outcomes, as well as accelerate pharmaceutical research and drug trials.
– Founder(s): Jeremy Howard, Kevin Lyman
– Founding year: 2014
– Headquater(s): San Francisco, California, United States
– Funding: Series B
41. Quantib
Quantib
Quantib comes to work every day to solve the radiologist’s most complex challenges and to make sure they can spend their time in the most valuable way. Medical images enclose secrets about diseases they wish to unravel just as much as physicians do.
– Founder(s): Arthur Post Uiterweer, Jorrit Glastra, Rudolf Scholte
– Founding year: 2012
– Headquater(s): Rotterdam, Zuid-Holland, The Netherlands
– Funding: Grant
42. Radiobotics
Radiobotics
Radiobotics is a company that is developing cutting-edge machine learning algorithms to support medical professionals in analyzing medical images and making the right decisions. These algorithms are helping to revolutionize the medical industry, allowing doctors to make more accurate diagnoses and improve patient outcomes.
– Founder(s): Mads Jarner Brevadt, Martin Axelsen, Pavel Lisouski, Philippe Chanut, Stine Molgaard Sorensen
– Founding year: 2017
– Headquater(s): Københoved, Syddanmark, Denmark
– Funding: Seed
43. Intixel
Intixel
Intixel strives to utilize artificial intelligence algorithms to the benefit of the patient by empowering radiologists’ diagnoses with an automated second-eye opinion and optimizing their work efficiency.
– Founder(s): Mustafa Elattar
– Founding year: 2018
– Headquater(s): Cairo, Al Qahirah, Egypt
– Funding: Seed
44. Diagnocat
Diagnocat
Diagnocat AI is a revolutionary technology that is able to analyze 3D x-rays of the dental area. It is able to recognize the different anatomical areas of the maxillo-facial area and detect various pathologies.
– Founder(s): Alex (Vladimir) Sanders, Evgeniy Shumilov, Matvey Ezhov
– Founding year: 2017
– Headquater(s): Tel Aviv, Tel Aviv, Israel
– Funding: Series Unknown
45. Qure AI
Qure.ai
Qure AI is a health tech startup that uses artificial intelligence assistance for medical imaging diagnostics. The company’s mission is to make healthcare affordable and accessible using the power of artificial intelligence. They build deep learning solutions that aid physicians with routine diagnosis and treatment, allowing them to spend more time with patients.
– Founder(s): Pooja Rao, Prashant Warier
– Founding year: 2016
– Headquater(s): Mumbai, Maharashtra, India
– Funding: Series C
46. Olea Medical
Olea Medical – Improved Diagnosis for Life
Olea Medical designs and markets innovative medical Imaging software. Although the company wasn’t very well known a few years ago, today its reputation has taken off. Olea Medical’s software solutions allow physicians to obtain results that have never before been observed.
– Founder(s): Romain Aubanel
– Founding year: 2008
– Headquater(s): La Ciotat, Provence-Alpes-Cote d’Azur, France
– Funding: Series B
47. RT MEDICAL SYSTEMS
RT MEDICAL SYSTEMS
RT Medical Systems is a Startup based in Florianópolis, Brazil. Their mission is to integrate radiotherapy services by simplifying complex workflows by making technology more accessible to physicians and their patients.
– Founder(s): Carlos Queiroz, Pedro Piedade
– Founding year: 2017
– Headquater(s): Florianópolis, Santa Catarina, Brazil
– Funding: Pre-Seed
How do you measure impact?
Our software at RT MEDICAL has made a significant impact on our customers and end-users in the radiotherapy industry. Through collecting feedback and analyzing data, we have seen firsthand how our software has improved the accuracy and safety of radiation treatment plans and doses, leading to better patient outcomes.We have received positive feedback from our customers on the effectiveness and ease of use of our software, which has helped to establish us as a trusted provider in the industry . As we continue to grow and innovate, we remain committed to making a positive impact on the healthcare industry and society as a whole.
48. Zebra Medical Vision
Zebra Medical Vision
Zebra Medical Vision’s imaging analytics platform allows healthcare institutions to identify patients at risk of disease and offer improved preventative treatment pathways to advance patient care. The company is funded by Khosla Ventures, Marc Benioff, Intermountain Investment Fund, OurCrowd Qure, Aurum, aMoon, Nvidia, J&J, and Dolby Ventures.
– Founder(s): Elad Benjamin, Eyal Gura
– Founding year: 2014
– Headquater(s): Shefayim, HaMerkaz, Israel
– Funding: Series Unknown
49. MARS Bioimaging Ltd
MARS Bioimaging Ltd
The MARS imaging system has established itself as the world’s leading spectral (multi-energy ‘true colour’) imaging technology. It is the first commercially available spectral, high definition computed tomography (CT) system and has already demonstrated exciting applications.
– Founder(s): Phil Butler
– Founding year: 2007
– Headquater(s): Christchurch, Canterbury, New Zealand
– Funding: Series A
50. ROB’E
ROB’E
ROB’E mission is to develop a groundbreaking robotic-assisted maneuvering device for echocardiography probes to revolutionize cardiovascular interventions and to enable more patients around the world to easily access cutting-edge treatment that can restore their cardiac function.
– Founder(s): Marc-Angelo Bisotti
– Founding year: 2020
– Headquater(s): Raboisen, the-labs.space, Hamburg
– Funding: Series Unknown
51. Persimio
Persimio
PerSimiO Ltd. is a newly formed Israeli company established in January, 2015, whose mission is to commercialize fifteen years of academic research and development on bone biomechanical simulation.
– Founder(s): Zohar Yosibash, Charles Milgrom, Kent Myers
– Founding year: 2015
– Headquater(s): Be’er Sheva, HaDarom, Israel
– Funding: Series Unknown
52. Scalpel
Scalpel
Scalpel is a platform that is designed to help optimize surgical procedures in clinics and hospitals. It provides a comprehensive suite of tools that enable healthcare professionals to streamline the surgical process, from pre-operative planning to post-operative follow-up.
– Founder(s): Yeshwanth Pulijala
– Founding year: 2017
– Headquater(s): London, England, United Kingdom
– Funding: Seed
53. Dyad Medical, Inc.
Dyad Medical, Inc.
Dyad Medical develops software that automatically analyzes the content of cardiac and cardiovascular images. Its software applications support both treatment decision making in the clinic and analysis in research, enabling researchers to optimize observations and conclusions.
– Founder(s): Annette Shalev, Ronny Shalev
– Founding year: 2018
– Headquater(s): Boston, Massachusetts, United States
– Funding: Seed
54. DeePathology.ai
DeePathology.ai
DeePathology.ai is a revolutionary technology that brings the power of Artificial Intelligence (AI) and Deep Learning to Digital Pathology. This cutting-edge technology provides pathologists with powerful tools to help them accurately diagnose and treat diseases.
– Founder(s): Chen Sagiv
– Founding year: 2018
– Headquater(s): Kfar Saba, HaMerkaz, Israel
– Funding: Series Unknown
55. Kfar Saba, HaMerkaz, Israel
IMERA.AI
IMERAI’s open-air acoustic imaging technology replaces the use of cameras in robotics and internet-connected devices; saving product developers the time, energy, and money used to securely ring-fence a camera in any product.
– Founder(s): Alex Bowen
– Founding year: 2018
– Headquater(s): Edinburgh, Edinburgh, City of, United Kingdom
– Funding: Series Unknown
56. CellmatiQ GmbH
CellmatiQ GmbH
CellmatiQ creates artificial intelligence products that benefit patients and medical professionals alike. Cephalometric x-ray images are the diagnostic backbone of today’s dental practice; ranging from the detection of caries or periodontal diseases via root canal treatments and prosthodontics to maxillofacial oncology.
– Founder(s): Jaroslav Blaha, Tassilo Waldraff
– Founding year: 2018
– Headquater(s): Hamburg, Hamburg, Germany
– Funding: Seed
57. Dr CADx
Dr CADx
Dr CADx is a computer aided diagnostic system to help doctors diagnose medical images more accurately in order to provide better patient outcomes and save lives, and provide pervasive radiology diagnostics in underserved regions.
– Founder(s): Gift Gana, Tatenda Madzorera
– Founding year: 2016
– Headquater(s): Bulawayo, NA – Zimbabwe, Zimbabwe
– Funding: Seed
58. SkinVision
SkinVision
SkinVision is an awareness and tracking solution that supports individuals with the early recognition of melanoma, squamous cell carcinoma, basal cell carcinoma, and precancerous actinic keratosis.
– Founder(s): Mircea Popa, Victor Anastasiu
– Founding year: 2012
– Headquater(s): Amsterdam, Noord-Holland, The Netherlands
– Funding: Series Unknown
59. Quibim
Quibim
Quibim develops quantitative biomarkers, companion diagnostics, and other imaging tools for systems biology applications, from immuno-oncology to neurology. Quibim partners with the pharma industry and large real-world data players. It is also the reference imaging platform behind the largest internal research consortiums and biobanks in cancer.
– Founder(s): Angel Alberich-Bayarri, Luis Martí Bonmatí
– Founding year: 2012
– Headquater(s): Valencia, Comunidad Valenciana, Spain
– Funding: Seed
How do you measure impact?
Quibim (Quantitative Imaging Biomarkers In Medicine) was born from the ambition to transform imaging data into actionable predictions, early detecting pathologies, and predicting outcomes in oncology/hematology, immunology, and neurosciences using SoC medical imaging. The company is specialized in creating large repositories to help RWE and biopharma partners extract new insights from images and advance the development of AI-based models.
Quibim has led 50+ RWE and RCT studies, processed 100M+ de-identified research imaging exams, and 150.000+ de-identified cancer patients and 125+ sites have used Quibim platforms worldwide.
The real impact of Quibim is based on the performance of our diagnostic, prognostic, and predictive models, the volume of images we analyze, the number of researchers and clinicians using our platforms to improve the clinical outcomes prediction (e.g.: immunotherapy response, early progression, etc.). and how the clinical adoption of these models leads to a better, optimal, and accurate clinical decision system.
60. VinBigData
VinBigData
VinBigData Joint Stock Company was established based on Vingroup Big Data Institute’s scientific achievements in the fields of Artificial Intelligence and Data Science (especially in image and language processing).
– Founder(s): Cong Nguyen
– Founding year: 2018
– Headquater(s): Hanoi, NA – Vietnam, Vietnam
– Funding: Series Unknown
61. RedBrick AI
RedBrick AI
RedBrick AI is a SaaS platform for annotating medical data. The platform provides specialized annotation tools accessible via a web browser and integrated into customers’ existing data storage system.
– Founder(s): Derek Lukacs, Shivam Sharma
– Founding year: 2021
– Headquater(s): Claymont, Delaware, United States
– Funding: Seed
62. Qritive
Qritive
Qritive provides an AI-powered solution to help doctors analyze both microscopy images and text from patient data. As a result, hospitals will be more efficient in making cancer diagnoses, allowing them to save costs.
– Founder(s): Aneesh Sathe, Kaveh Taghipour
– Founding year: 2017
– Headquater(s): Singapore, Central Region, Singapore
– Funding: Series A
63. Botkin.AI
Botkin.AI
Botkin.AI is a software-based platform for medical image processing and analysis based on artificial intelligence. The Company provides AI for analyzing radiograms and diagnosing the risk of tumors. The solution is based on deep machine learning.
– Founder(s): Oleg Bukhvalov, Sergey Sorokin
– Founding year: 2015
– Headquater(s): Moscow, Moscow City, Russian Federation
– Funding: Series B
64. VinBrain
VinBrain
VinBrain is an artificial intelligence-focused company for health care. They artificial intelligence into medicine and medical image diagnostics. They provide DrAidTM Teleradiology, a remote medical imaging solution, connecting resources and expertise between hospitals to provide patients with quality diagnostic imaging services, anywhere, anytime.
– Founder(s): Steven Truong
– Founding year: 2019
– Headquater(s): Hanoi, NA – Vietnam, Vietnam
– Funding: Series Unknown
65. DiA Analysis
DiA Imaging Analysis
DiA Imaging Analysis provides advanced AI-based ultrasound analysis smarter and more accessible. It solves the two main challenges clinicians face when using ultrasound: acquiring the right image and automatically analyzing it, to find clinical abnormalities that today they are struggling to find visually.
– Founder(s): Arnon Toussia Cohen, Hila Goldman-Aslan, Michal Yaacobi, Noah Liel Cohen
– Founding year: 2009
– Headquater(s): Be’er Sheva, HaDarom, Israel
– Funding: Series Unknown
66. IXICO
IXICO
IXICO is a UK-based imaging CRO (iCRO) that provides AI-driven neuroimaging solutions for clinical trials worldwide. The company offers end-to-end specialist neuroscience imaging services and highly curated neurological patient data to provide end-to-end imaging insights for central nervous system studies. This enables biopharma, academia, and medical charities sponsors to address challenges and realize the full potential of imaging biomarkers in their CNS clinical trials.
– Founder(s): Derek Hill
– Founding year: 1995
– Headquater(s): London, England, United Kingdom
– Funding: Post-IPO Equity