Come to San Francisco, AI Capital of the World

Explore 38 events at AAO 2023 that focus on artificial intelligence and ophthalmology, including retina, refractive surgery, glaucoma and ocular oncology.

Register for AAO 2023

Retina Subspecialty Day

Saturday, Nov. 4

Section XVII: Artificial Intelligence (RET20)

Moderator: John P Campbell, MD, MPH

3:46 Toward Continuous Disease Severity Scores Using Deep Learning in MacTel Type 2
Aaron Y Lee, MD

3:52 Role of AI in Fluid Quantification and Dynamics for Neovascular AMD Patients Using Home OCT
Anat Loewenstein, MD

3:58 AI in the Management of Geographic Atrophy
Ursula M Schmidt-Erfurth, MD

4:04 Evaluation and Review of Automated Diabetic Retinopathy Screening
Roomasa Channa, MD

4:10 ChatGPT in the Modern Retina Practice
Raymond Iezzi, MD

Refractive Surgery Subspecialty Day

Friday, Nov. 3

REF02

Section I: What I’m Doing This Year That I Didn’t Do Last Year—What’s New in 2023

8:05 Artificial Intelligence for Ectasia Risk Assessment
João Marcelo Lyra, MD, PHD

REF09

Section VI: ESCRS Symposium

2:22 Artificial Intelligence  for Optimizing Refractive Outcomes
Oliver Findl, MD

2:27 The Influence of Artificial Intelligence in IOL Calculation
Thomas Kohnen MD, PhD, FEBO

REF11

Section VIII: JRS—Hot, Hotter, Hottest Late Breaking News

3:36 Ectasia Risk Model: A Novel Method Without Cut-off Point Based on Artificial Intelligence Improves Detection of Higher-Risk Eyes
Marcony R Santhiago, MD

REF12

Section IX: Innovation (Not eligible for CME credit)

4:48 Artificial Intelligence for Refractive Surgery
Dimitri T Azar, MD

Ocular Oncology and Pathology Subspecialty Day

Friday, Nov. 3

PTH03

Section II: Bigfoot and Its Footprints in Ocular Melanoma Diagnosis, Prognosis, and Treatments

9:55 Artificial Intelligence in Uveal Melanoma
Andrew W Stacey, MD

Symposia

Monday, Nov. 6

SYM60

The Future of Ocular Oncology: Artificial Intelligence and More

Chairs:
Claudia Maria Prospero Ponce, MD
Erica R. Alvarez-Gonzalez, MD
Christopher K. Burris, MD

9:45 Introduction
Claudia Maria Prospero Ponce, MD

9:46 Telepathology and Artificial Intelligence in Pathology
Patricia Chevez-Barrios MD

9:54 Applied Artifical Intelligence in Ocular Oncology
Zelia M. Correa, MD, PHD

10:02 Q&A

10:06 TeleOncology Current Trends
Matthew W. Wilson, MD

10:14 Advances in Treatments of Ocular Surface, Orbit and Lid Tumors in the Next 10 Years
Carol L. Shields, MD

10:22 Diversity, Equity and Inclusion in Ocular Oncology
Basil K. Williams, MD

10:30 Q&A

10:34 Introduction of the Zimmerman Lecturer
Patricia Chevez-Barrios, MD

10:38 Zimmerman Lecture: Liquid Biopsy & Personalized Medicine: The Keys That Will Cure Ocular Cancers
Dan S. Gombos, MD


Sunday, Nov. 5

SYM29

Glaucoma Care for All: Opportunities and Pitfalls of Artificial Intelligence 

Chairs:
O'Rese J. Knight, MD
Sophia Ying Wang, MD

9:45 Introduction: A Framework for Fairness
Sophia Ying Wang, MD

9:50 Fair Models: Diversity in Glaucoma Datasets
Nazlee Zebardast, MD

9:58 Fair Deployment I: Screening Programs
Lauren Patty Daskivich, MD

10:06 Fair Deployment II: Clinical Decision Support Programs
Brian C. Stagg, MD

10:14 Fairly Treated: The Patient’s Perspective on Artificial Intelligence
Ciku Wanjiku Mathenge, MD, PHD

10:22 Panel Discussion

10:40 Introduction to the Shaffer Lecturer
Andrew George Iwach, MD

10:45 Robert N Shaffer Lecture: Expanding the Reach of Glaucoma Care: Out-of-Office Testing and Telemedicine
L. Jay Katz, MD


Saturday, Nov. 4

SYM04

Using Technology to Solve the Biggest Problems in Ophthalmology

Chair:
Thomas Hwang, MD

9:45 Can Technology Make Medical Education Better? Turbocharge Learning for New and Older Learners by Combining the New Science of Learning with Simulation and Generative AI
Daniel C. Tu, MD, PhD

10:00 Hello, ER Doc, Can You Take an OCT and We Can Talk in a Bit? How Tele-Consults Can Transform Hospital-Based Ophthalmology Care
April Y. Maa, MD

10:15 Closing the Gap in Ophthalmic Screening with Technology
Bobeck S. Modjtahedi, MD

10:30 The Tech-Driven Back Office: Can AI Answer Phone Calls, Schedule Appointments and Fight Insurance Companies? Why Back-Office Functions Are Better AI Use Cases Than Replacing Physician Tasks
Renee Bovelle, MD

10:45 Panel Discussion: What Are the Biggest Unsolved Problems in Ophthalmology? What Technology-Based Solutions Are the Most Promising?
Thomas Hwang, MD
Renee Bovelle, MD
April Y. Maa, MD
Bobeck S. Modjtahedi, MD
Daniel C. Tu, MD, PhD
Paul J. Bryar, MD

Cosponsored by the Committee on Medical Information Technology (CMIT)


Friday, Nov. 3

SYM67

New Technologies in Teaching 

Chairs:
Helena Prior Filipe, MD
Ana Gabriela Palis, MD
Karl C. Golnik, MD
Eduardo P. Mayorga, MD

1:30 Introducing the OF Education Consortium and the New Technologies in Teaching Workshop
Karl C. Golnik, MD
     
Artificial Intelligence Workshop

1:35 Artificial Intelligence: The Current Technology and Known Applications
Eduardo P. Mayorga, MD

1:55 Improving How You Plan and Create Content for Teaching in a World With AI
Ana Gabriela Palis, MD

2:10 Artificial Intelligence and Its Role in Clinical Teaching and Learning
Giselle C. Ricur, MD

2:25 Live Demonstration of Several Applications Discussed
Eduardo P. Mayorga, MD

2:40 Q&A and Topic Discussions
Ana Gabriela Palis, MD

Simulation Based Education Symposium

3:05 The Importance of Simulation Based Education
Helena Prior Filipe, MD

3:10 Augmentation of Practical Residency and Fellowship Training Using Diagnostic and Microsurgical Simulators
Berthold Seitz, MD

3:20 Training by Simulation Without Virtual Reality Simulators
John L. Clements, MD

3:30 The Impact of Mentoring and Debriefing on Perceived Learning Barriers by Residents in Ophthalmic Microsurgical Simulation Training
Danny Siu-Chun Ng, FCOPHTHHK, MBBS

3:40 Small and Large Group Discussions
Helena Prior Filipe, MD

3:55 Real Life Implementation of Simulation Based Education
Van C. Lansingh, MD

4:05 Simulation Based Education: An Exciting Field of Scholarship in Eye Health Professions Education
Jorge E. Valdez-Garcia, MD

4:15 Small and Large Group Discussions
Helena Prior Filipe, MD

Cosponsored by the Ophthalmology Foundation

Monday, Nov. 6

SYM55

Non-neovascular AMD—The New Frontier

Chairs:
Glenn J. Jaffe, MD
Srinivas R. Sadda MD

8:00 Introduction to the Arnall Patz Lecturer
Barbara Ann Blodi, MD

8:03 Arnall Patz Lecture: Automated AI-based Image Analysis for Empowering Real-world AMD (Wet and Dry) Management
Ursula M. Schmidt-Erfurth, MD

8:17 Introduction
Glenn J. Jaffe, MD

8:22 Intermediate AMD and Geographic Atrophy: Terms and Definitions
Glenn J. Jaffe, MD

8:28 Imaging in Non-neovascular AMD
Steffen Schmitz-Valckenberg, MD

8:34 Functional Testing in Non-neovascular AMD
Eleonora G. Lad, MD, PhD

8:40 Risk Factors for Intermediate AMD Progression to Geographic Atrophy
Srinivas R. Sadda MD

8:46 Clinical Trial Endpoints in Intermediate AMD and Geographic Atrophy
Philip J. Rosenfeld MD PhD

8:52 Approved Non-neovascular AMD Drugs
Arshad M. Khanani MD

8:58 How Do I Choose Patients With Geographic Atrophy to Treat With Anti-complement Drugs?
Charles C. Wykoff, MD, PhD

9:04 Pipeline Non-neovascular AMD Drugs
Peter K. Kaiser MD

9:10 Conclusion and Summary
Srinivas R. Sadda, MD

Cosponsored by the Macula Society

Sunday, Nov. 5

SYM10

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

Chair:
Gary L. Legault, MD

Panelists:
Gary L. Legault, MD
Patricia D. Stepp MD
Dara L. Shahon MD

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


Sunday, Nov. 5

SYM38

Innovations in Ophthalmology From Around the World

Chairs:
Ravi D Goel, MD
Lisa Nijm MD, JD
Mildred MG Olivier, MD

11:30 Introduction
Ravi D Goel, MD

11:31 Advancing and Personalizing Oculofacial Plastic and Reconstructive Surgery through Technology
Erin Shriver, MD

12:06 Introduction to the Parker Heath Lecturer
Ravi D Goel, MD

12:08 Parker Heath Lecture: Physician Leadership in Designing the Digital Tools of the Future
Jesse M. Ehrenfeld, MD, MPH

12:23 Innovation to Reduce Ocular Health Disparities
Mildred MG Olivier, MD

Panelists:
Grayson W Armstrong, MD, MPH
Joseph T Nezgoda, MD, MBA

Cosponsored by the American Medical Association Ophthalmology Section Council (AMA)

Scientific Posters

• Streamlining the Periorbital Measurement Process Using Automated and Semiautomated Approaches
• Development of IOL Calculation Formula Utilizing ChatGPT and AI Algorithm
• OCT Images for Cataract Grading: An AI-Based Approach
• Evaluating Text-Based Generative AI Models for Patient Information on Cataract Surgery
• Novel Pattern Reflection Topography Data Analyzed by AI: Comparison of KCN Corneas to Normal, and Accuracy vs. Scheimpflug Tomography
• EE-Explorer: A Multimodal AI System for Eye Emergency Triage and Primary Diagnosis
• Harnessing AI for Glaucoma Screening With a Smartphone: A Prospective Comparative Study
• Evaluating the Diagnostic Accuracy of an AI-Powered Handheld Fundus Camera for Glaucoma Detection in a Tertiary Glaucoma Referral Center
• Utilizing AI for the Diagnosis of Glaucoma
• Comparing the Readability of Patient Education Documents Generated by AI-Based Chatbots With Those on the Academy?s Website
• Exploring the Role of AI Chatbots in Ophthalmology
• Smartphone-Based Universal Screening for Rare Ocular Diseases
• Myopia Management Personalized by Integrating Imaging, Biomechanics and Molecular Factor Using AI
• The Distribution of Fundus Changes in Different Axial Lengths and Its AI Quantitative Monitoring Indexes in 3,907 Chinese Children With Myopia in the Early Stage
• 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 for Detecting Referrable DR in an Asian Population in Hong Kong
• Evaluation of the Efficacy of ChatGPT-4 in the Prediction of DR Risk in Indian Patients
• Comparison of a Novel Chaotic Model With Conventional Convolutional Neural Networks Models for Diagnosis of Keratoconus

Papers

• AI Models for Predicting Glaucoma Progression in a Large Multicenter EHR Consortium: The Sight Outcomes Research Collaborative
• Initial Results of AI Voice Automation of Preoperative Assessment for Ophthalmic Surgery

Instruction Courses

• AI in the Retina Clinic: A State-of-the-Art on Novel Grounds
• Advanced Techniques in Oculoplastics: Updates on Cutting-Edge Technologies
• Myopia Management: Global Perspectives, Digital Innovation and AI
• AI and Ophthalmology: How to Leverage Technology to Support Your Practice (AAOE)

Skills Transfer

• Smartphones in Ophthalmology: #TheFutureIsAI