Korea Biomedical Reviewㅣ 2024-10-30
Mediwhale said Wednesday that it has won first place in two categories at the Medical AI Competition organized by the Medical Image Computing and Computer Assisted Intervention (MICCAI).
MICCAI is the most prestigious conference in medical imaging, computer-aided diagnostics, and medical robotics.
The competition evaluated the performance of deep learning algorithms to identify “diabetic retinopathy and diabetic macular edema based on wide-angle fundus images.” The best-performing algorithms were selected based on a comprehensive evaluation of image quality and disease identification accuracy.
Mediwhale’s AI research team ranked first in both categories—diabetic retinopathy identification and diabetic macular edema identification—among 33 participants worldwide. The company attributed the result to its AI model’s ability to improve accuracy through a multitask learning approach.
“We are very proud that Mediwhale’s AI technology continues to be highly recognized at prestigious international conferences, such as MICCAI,” Mediwhale CEO Choi Tae-geun said. ”We will continue to build on our vast amount of data and accumulated AI technology to become the world standard in fundus imaging.”