Abstract

Dr. MALAY CHATURVEDI

Human analogue to AI , with up to 90% specificity has been tried and evaluated to produce predictable outcomes in identifying treatable diabetic retinopathy. VTDR has been used as Referral threshold. General ophthalmologists would be trained to identify retinal photographs with these features. Audience would be shown retinal photographs and would choose option to refer or not by using voting pads. The outcome would be displayed live. Our previous trials on similar sittings over previous 3 years, involving 300 general ophthalmologists of variable experience and age yielded upto 90% correct responses in identifying treatable diabetic retinopathy. This human analogy would be a useful screening tool. Besides, this would empower GOs to identify treatable DR. WHO in 2020 has come up with Similar guide lines for screening of diabetic retinopathy. “HA to AI” for screening DR is an innovative and cost effective tool which can be used to tackle the burden of diabetic blindness in India.

 

1	concept introduction and relevance	Dr. MALAY CHATURVEDI		watch video
2	Data presentation ,previous experiences and outcomes	DR. ABHIJAAT CHATURVEDI		watch video
3	Targets,projections , standardization strategies and contemporary international experiences.	Dr. MOHIT KHATTRI		watch video
4	Identifying vision threatening Diabetic retinopathy	DR. MANISH SAXENA		watch video
5	Slide presentation and auditing audience response	Dr.Abhishek Dixit		watch video
6	Correlating clinical and investigating cardinal features of treatable Diabetic retinopathy	DR. DUDANI AJAY INDUR		watch video
7	Keynote Address by Dr.Rajesh Subhash Joshi : Surgical Challenges in the management of Fibrotic, Calcified anterior capsule and cataract	Dr.Rajesh Subhash Joshi		watch video