World’s Largest Meeting of Eye Doctors and Surgeons Highlights Advances in Artificial Intelligence

News — SAN FRANCISCO — November 3, 2023 — As an image-based and data-rich medical specialty, ophthalmology probably has the greatest scope of application of artificial intelligence in medicine. A perfect example can be found in the wide range of research and symposia that will be presented this week in San Francisco at AAO 2023, the 127th annual meeting of the American Academy of Ophthalmology. AAO 2023 is the largest ophthalmology conference in the world. The meeting provides an opportunity to hear the greatest minds in the field of medical and surgical eye care discuss the latest scientific advances in vision treatment and research. It will take place November 3-6 at the Moscone Center.

The promise of AI is now without pitfalls, which will also be discussed this week. Sophia Ying Wang, MD, assistant professor of ophthalmology at Stanford, will chair a symposium titled: Glaucoma care for all: opportunities and pitfalls of artificial intelligence.

“We need to keep in mind the diversity of the ‘training’ data these algorithms were built on, and whether fairness assessments were performed on the algorithms,” Dr. Wang said. We need to think carefully about which definition of “fair” best applies to each specific algorithm and the problem it intends to solve. We need to think about what actions we might take with AI: are they somehow “punitive” or assistive, and do they affect different patient populations differently? We also need to think about which patients are served by our algorithms and which are not. These are just some of the questions we hope to discuss at our next symposium.

Here is a complete list of AI-related research that will be featured:

Retina subspecialty day

• Towards Continuous Disease Severity Scores Using Deep Learning in MacTel Type 2 Aaron Y Lee, MD
• Role of AI in Quantification and Fluid Dynamics in Patients With Neovascular AMD Using At-Home OCT Anat Loewenstein, MD
• AI in the Management of Geographic Atrophy Ursula M Schmidt-Erfurth, MD
• Evaluation and Review of Automated Diabetic Retinopathy Screening Roomasa Channa, MD
• ChatGPT in Modern Retina Practice Raymond Iezzi, MD

Subspecialty day in refractive surgery

• Artificial Intelligence for Ectasia Risk Assessment João Marcelo Lyra, MD, PHD
• Artificial Intelligence to Optimize Refraction Results Oliver Findl, MD
• The influence of artificial intelligence in the calculation of the IOL Thomas Kohnen MD, PhD, FEBO
• Ectasia Risk Model: New threshold-free method based on artificial intelligence improves detection of higher-risk eyes Marcony R Santhiago, MD
• Artificial Intelligence for Refractive Surgery Dimitri T Azar, MD

Subspecialty day in ocular oncology and pathology

• Artificial Intelligence in Uveal Melanoma Andrew W Stacey, MD

Conferences:

The future of ocular oncology: artificial intelligence and more

• Telepathology and artificial intelligence in pathology Patricia Chevez-Barrios MD
• Artificial Intelligence Applied in Ocular Oncology Zelia M. Correa, MD, PHD
• Current Trends in Teleoncology Matthew W. Wilson, MD

Glaucoma care for all: opportunities and pitfalls of artificial intelligence

• A Framework for Equity Sophia Ying Wang, MD
• Fair Models: Diversity in Glaucoma Datasets Nazlee Zebardast, MD
• Equitable Deployment I: Screening Programs Lauren Patty Daskivich, MD
• Fair Deployment II: Clinical Decision Support Programs Brian C. Stagg, MD
• Treated Fairly: The Patient Perspective on Artificial Intelligence Ciku Wanjiku Mathenge, MD, PHD
• Robert N Shaffer Lecture: Expanding the Scope of Glaucoma Care: Out-of-Office Testing and Telemedicine Jay Katz, MD

Using technology to solve the biggest problems in ophthalmology

• Can technology improve medical education? Supercharge learning for new and older learners by combining the new science of learning with simulation and generative AI Daniel C. Tu, MD, PhD
• Hello, ER Doc, can you get an OCT done and we can talk a little? How teleconsultations can transform hospital-based ophthalmology care April Y. Maa, MD
• Closing the Gap in Ophthalmic Screening with Technology Bobeck S. Modjtahedi, MD
• The tech-driven back office: Can AI answer phone calls, schedule appointments, and fight insurance companies? Why Back-Office Functions Are Better Use Cases for AI Than Replacing Physician Jobs Renee Bovelle, MD
• Roundtable: What are the biggest unresolved problems in ophthalmology? Which technological solutions are the most promising?

New technologies in teaching

• Artificial intelligence: current technology and known applications Eduardo P. Mayorga, MD
• Improving How You Plan and Create Content for Teaching in an AI World Ana Gabriela Palis, MD
• Artificial Intelligence and Its Role in Clinical Teaching and Learning Giselle C. Ricur, MD
• Live demonstration of several applications discussed Eduardo P. Mayorga, MD

Non-neovascular AMD: the new frontier

• Arnall Patz Lecture: AI-Driven Automated Image Analysis to Aid Real-World Management of AMD (Wet and Dry) Ursula M. Schmidt-Erfurth, MD

New Era in Telehealth: A Federal Perspective on Opportunities, Challenges and Next Steps

• The COVID-19 pandemic has created extraordinary challenges for the U.S. healthcare system and led to a rapid increase in the use of telehealth. Already pioneers in the field, our federal health systems continue to play a leadership role in this new era of telehealth. In this symposium, ophthalmologists from the VA, DOD and IHS will examine how their agencies are using telehealth so patients can access care when and where they need it and how the COVID-19 pandemic has helped fuel the expansion of telehealth in federal health systems. Panelists will also examine how artificial intelligence is shaping the future of telehealth in ophthalmology.

Scientific posters

• Streamlining the periorbital measurement process using automated and semi-automated approaches
• Development of an IOL calculation formula using ChatGPT and the AI ​​algorithm
• OCT Images for Cataract Grading: An AI-Driven Approach
• Evaluation of Text-Based Generative AI Models for Cataract Surgery Patient Education
• New topographic data by model reflection analyzed by AI: comparison of KCN corneas to normal and accuracy compared to Scheimpflug tomography
• EE-Explorer: a multimodal AI system for ocular emergency triage and primary diagnosis
• Exploiting AI for glaucoma screening with a smartphone: a prospective comparative study
• Evaluation of the Diagnostic Accuracy of an AI-Powered Wearable Fundus Camera for Glaucoma Detection in a Tertiary Glaucoma Reference Center
• Using AI for glaucoma diagnosis
• Comparing the readability of patient education materials generated by AI-based chatbots with those on the Academy website
• Exploring the role of AI chatbots in ophthalmology
• Universal smartphone screening for rare eye diseases
• Personalized myopia management by integrating imaging, biomechanics and molecular factor using AI
• The distribution of fundus changes in different axial lengths and its quantitative AI monitoring indices in 3907 Chinese children with early-stage myopia
• A multimodal AI risk scoring model to predict the development of referable DR within 3 and 5 years: DR-PREDICT
• Real-world comparison of an AI system and endocrinologists to detect referable DR in an Asian population in Hong Kong
• Evaluation of the Efficacy of ChatGPT-4 in Predicting DR Risk in Indian Patients
• Comparison of a Novel Chaotic Model with Conventional Convolutional Neural Network Models for Keratoconus Diagnosis

Papers

• AI models to predict glaucoma progression in a large multicenter EHR consortium: The Sight Outcomes Research Collaborative
• First results of AI voice automation of preoperative assessment for ophthalmic surgery

About the American Academy of Ophthalmology

The American Academy of Ophthalmology is the world’s largest association of ophthalmic physicians and surgeons. A global community of 32,000 physicians, we protect sight and empower lives by setting the standards in ophthalmic education and advocating on behalf of our patients and the public. We innovate and support research to advance our profession and ensure the delivery of the highest quality eye care. Our EyeSmart® program provides the public with the most reliable eye health information. For more information, visit aao.org.