Frontiers in Medicine, February 2023
Editorial on the Research Topic
Big Data and Artificial Intelligence (AI) are rapidly transforming modern healthcare. The combination of these technologies allows for the collection, analysis, and utilization of large amounts of healthcare data in ways that were previously not possible. While there are several challenges to overcome, the potential benefits of using these technologies are significant and include improved patient outcomes, efficient and effective healthcare delivery, and potential of improving access and affordability of healthcare interventions. Ophthalmology is a field that generates a large amount of healthcare data, including images of the retina, cornea, and other eye structures (1). The widespread use of electronic health records has also led to an increase in the amount of patient data available for analysis (2, 3). Thus, ophthalmology is a great medical subspeciality for applications that can utilize big This Research Topic focuses on the utility and the potential of big data and AI in ophthalmology. Authors from a broad spectrum of vision science and ophthalmology associated specialties from several countries, have contributed to this Research Topic. They have highlighted novel uses of large datasets, introduced new perspectives, and have reported AI algorithms with immense translational potential. In this editorial we provide a thematic overview of the exciting and diverse content covered under this Research Topic
Big Data and Artificial Intelligence (AI) are rapidly transforming modern healthcare. The combination of these technologies allows for the collection, analysis, and utilization of large amounts of healthcare data in ways that were previously not possible. While there are several challenges to overcome, the potential benefits of using these technologies are significant and include improved patient outcomes, efficient and effective healthcare delivery, and potential of improving access and affordability of healthcare interventions. Ophthalmology is a field that generates a large amount of healthcare data, including images of the retina, cornea, and other eye structures (1). The widespread use of electronic health records has also led to an increase in the amount of patient data available for analysis (2, 3). Thus, ophthalmology is a great medical subspeciality for applications that can utilize big This Research Topic focuses on the utility and the potential of big data and AI in ophthalmology. Authors from a broad spectrum of vision science and ophthalmology associated specialties from several countries, have contributed to this Research Topic. They have highlighted novel uses of large datasets, introduced new perspectives, and have reported AI algorithms with immense translational potential. In this editorial we provide a thematic overview of the exciting and diverse content covered under this Research Topic