An Assistant Model for IRD Care Needs: A Randomized Control Trial

Conduct a multicenter randomized controlled study based on the comprehensive deep learning model for inherited retinal diseases (EyeFM-IRDs). Through our established comprehensive deep learning model for inherited retinal diseases (EyeFM-IRDs model), the following objectives can be achieved: complete the initial screening of IRD patients based on the EyeFM-IRDs model, improve the correct referral of IRD patients to the fundus specialty or genetic eye disease specialty clinic; through consultation and ophthalmic examination, achieve the goal that the EyeFM-IRDs assisted by fundus doctors can improve the diagnosis of IRD compared to fundus doctors alone, effectively screen out negative patients, and avoid unnecessary WES examinations; based on a panel of gene mutation types with treatment methods that we have previously constructed. The EyeFM-IRDs model predicts the specific mutation genes of IRD patients based on consultation and fundus examination. This will improve the standardized diagnosis and treatment of IRD diseases, and also provide clinical support and research guidance for future research on IRDs.