Health Challenges in Ophthalmology
Explore the global health challenges related to ophthalmology, including diabetic retinopathy, age-related macular degeneration, glaucoma, and pathological myopia. Learn about the risks, prevalence, and the need for AI technology in addressing these issues.
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FGAI4H-G-012-A01 New Delhi, 13-15 November 2019 Source: TG-Ophthalmo topic driver Title: TDD update: TG-Ophthalmo (Ophthalmology) Purpose: Discussion Contact: Arun Shroff E-mail: arun@xtend.ai Abstract: This PPT summarizes the content of G-012 with the TDD for the TG on ophthalmology, for presentation and discussion during the meeting.
Meeting G Topic Group Update Ophthalmology (TG-Ophthalmo ) New Delhi, Nov 13 15, 2019 Arun Shroff, Topic Driver, TG-Ophthalmology
Topic Group Ophthalmology Topics in this group: Diabetic Retinopathy (DR) Age Related Macular Degeneration (AMD) Glaucoma (GC) Pathological Myopia (PM) Topic Group Description Document (FGAI4H-G-xxx) Topic Group Call for Participation (FGAI4H-G-xxx-Axx) Topic Group Home Page : https://www.itu.int/en/ITU- T/focusgroups/ai4h/Pages/ophthalmo.aspx
The Health Challenge Diabetic Retinopathy (DR) At risk population - 422M people with diabetes worldwide (2014) 35%, 148M have DR / 11%, 48M have Vision Threatening DR (64M by 2040) Leading cause of blindness among adults worldwide Age Related Macular Degeneration (AMD) Damages macula and impairs central vision 196M by 2020 Third leading cause of vision loss overall, leading cause for those over 50
The Health Challenge Glaucoma (GC) Damages optic nerve & leads to vision loss 80M by 2020 Pathological Myopia (PM) Global Prevalence is 0.9% to 3.1% 35% of people with myopia have High Myopia, which can develop into PM Need for AI: Acute shortage of specialists globally to screen everyone at risk specially in LMICs.
Topic Group History Meeting B - New York, 15-16 November 2018 AI for Ophthalmology Use Case submitted in response to the Call for Proposals Using AI for Early Detection of DR to Prevent Vision Loss accepted as a use case Meeting C - Lausanne, Switzerland, 22-25 January 2019 Status report on the use case Using AI for Early Detection of DR Topic Group Ophthalmology established 2 Members : Medindia.net / Xtend.ai Baidu, China.
Topic Group History Meeting D- Shanghai, April 2-5, 2019 First version of Topic Description Document (TDD) Version 1.0 completed Topic Group Status Update provided. Meeting E - Geneva, May 30 June 1, 2019 Topic Description Document (TDD) Updated Pathological Myopia (PM) added (by Xingxing Cao, Baidu) Reviewed and validated by topic group members New topic group members: Ashley Kras, M.D. M. S., Ophthalmologist & Bioinformatician
Topic Group History Meeting F - Zanzibar, Sep 2-5, 2019 Topic Description Document (TDD) - FGAI4H-F-012 Updated and edits / Corrections made New Topic group members: Dr Covadonga Bascaran, PHEC MSc Programme Director, International Centre for Eye Health (ICEH), London School of Hygiene & Tropical Medicine In s Sousa , Head of Intelligent Systems, Fraunhofer Portugal New TG submission: DR-NET (Diabetic Retinopathy Network) - FGAI4H-F-020 A network of DR screening programmes in LMICs (29 countries) Contribution of data from different countries to make data representative Possibility of getting undisclosed data sets for testing Images are not currently annotated/labeled this would need to be done
Progress Since Meeting F Call For Participation: Outreach via email / social media (LinkedIn / Twitter) New Topic group members: Parvathi Ram, St. John s Medical College, India Dr. Suneetha N, St John s Medical College, India Dr. Sheila John, Sankara Netralaya, Chennai, India Rajaraman Subramanian, Calligo Technologies, India Sriganesh Rao, Calligo Technologies, India Sushil Kumar TEC, New Delhi India New TG submissions: Proposal for sub-topic AI based Aetiological Classification of Red Eye (FG-AI4H-G-030-R01) Proposal for sub-topic: Leveraging Edge analytics and Artificial Intelligence for the rapid assessment of avoidable blindness from Rajaraman Subramanian, Sriganesh Rao, Calligo Technologies and Sushil Kumar TEC, New Delhi, India (FG-AI4H-G-028)
Progress Since Meeting F Online Meetings/Calls: Nov 7, 2019 - 16:00 17:00 CET. Attendees: Parvathi Ram (India), Rami Verbin (Israel), Arun Shroff (USA) Topics Discussed : TDD status and updates New TG Submissions New collaboration features for TG Datasets
Topic Group Ophthalmology Members 1. Arun Shroff, Xtend.AI and Medindia.net, Topic Driver for TG-Ophthalmology 2. Yanwu XU, Artificial Intelligence Innovation Business, Chief Scientist, Baidu, China 3. Xingxing Cao, Artificial Intelligence Group, Baidu, China 4. Jingyu WANG, Artificial Intelligence Group, Baidu, China 5. Shan Xu, CAICT, China 6. Ashley Kras, M.D. M. S., Ophthalmologist & Bioinformatician (Harvard Medical School) 7. Covadonga Bascaran, PHEC MSc Programme Director, International Centre for Eye Health (ICEH), London School of Hygiene & Tropical Medicine, U.K. 8. In s Sousa, Head of Intelligent Systems, Fraunhofer Portugal AICOS 9. Parvathi Ram, St. John s Medical College, India 10. Dr Suneetha N, St John s Medical College, India 11. Dr. Sheila John, Sankara Netralaya, Chennai, India 12. Rajaraman Subramanian, Calligo Technologies, India 13. Sriganesh Rao, Calligo Technologies, India 14. Sushil Kumar TEC, New Delhi India
Next Steps Topic Description Document Continue to improve TDD for accuracy and completeness TDD validation from experts Call For Participation Continue outreach to increase members and get more experts involved Datasets/Benchmarking: Follow-up with DR-Net, EyePACs, Moorefields, Open Eye & others for collaboration and procurement of undisclosed, labeled datasets for benchmarking. Start working on benchmarking process & protocols.
