Harnessing The Power Of Longitudinal Medical Imaging For Eye Disease Prognosis Using Transformer-based Sequence Modeling

Deep learning has shown remarkable capabilities in medical image analysis and computer-aided diagnosis, but standard image classification techniques have limitations for slowly progressive eye diseases. To address this, researchers are developing methods for disease prognosis using longitudinal imaging and incorporating prior imaging.