Automated detection of nine infantile fundus diseases and conditions in retinal images using a deep learning system

ConclusionsIRIDS identifies nine infantile fundus diseases and conditions accurately. It may aid non-ophthalmologist personnel in underserved areas in infantile fundus disease screening. Thus, preventing severe complications. The IRIDS serves as an example of artificial intelligence integration into ophthalmology to achieve better outcomes in predictive, preventive, and personalized medicine (PPPM / 3PM) in the treatment of infantile fundus diseases.

http://link.springer.com/10.1007/s13167-024-00350-y

Source: EPMA Journal - February 15, 2024 Category: International Medicine & Public Health Source Type: research