St John of Jerusalem Eye Hospital Group Ophthalmic Association - Canada

St John of Jerusalem Eye Hospital Group Ophthalmic Association - Canada
In April, 2018, the FDA approved a cloud-based software program (IDx-DR) that uses Artificial Intelligence (AI) to provide a screening decision in diabetic retinopathy without the need for a clinician to interpret the image or results. AI is now being used routinely for the rapid, accurate, and objective diagnosis of eye disease. This multidisciplinary conference will update the clinician on the current state of AI in ophthalmology and optometry, as well as highlight promising areas of research and development. It will be followed by a gala dinner in honour of the St John of Jerusalem Eye Hospital. Guests who purchase dinner tickets will receive a charitable tax receipt from St John Ambulance Canada (Registered Charity #89903 4730 RR0001).
This conference is part of a series hosted by the Ophthalmic Association of the St John of Jerusalem Eye Hospital Group (SOA). Established in 2015, the SOA supports the postgraduate activities of the St John of Jerusalem Eye Hospital. The SOA is a global network comprised of 5 hubs and 10 chapters, led by Mr. David Verity, Moorfields Eye Hospital, London, UK. The SOA unites professionals from all walks of life in support of the humanitarian work of the Order of St John.
All proceeds from the conference and gala dinner will go towards the St John of Jerusalem Eye Hospital, which celebrated its 140th anniversary in 2022.
Ophthalmologist-in-Chief, Hospital for Sick Children, Toronto
AI in Pediatric Ophthalmology
Third Year Medical Student, Temerty Faculty of Medicine, University of Toronto
AI in Eye Surgery: Establishing Surgical Learning Curves &
Optical Character Recognition with Deep Learning for Automated Data Extraction of Macular Cube Spectral Domain Optical Coherence Tomography Data
Glaucoma and Advanced Anterior Segment Surgery Research Fellow, University of Toronto
Integrating AI Into Clinical Practice
Lecturer, Ophthalmology and Vision Sciences, University of Toronto; Medical Director, Vitreous Retina Macula Specialists of Toronto
AI-Based Image De-Noising
Resident (PGY1), Ophthalmology & Vision Sciences, University of Toronto; Integrated Physician-Scientist Training Program, University of Toronto
AI in population and personalized ophthalmology
Fourth Year medical student, Temerty Faculty of Medicine, University of Toronto
Optical Character Recognition with Deep Learning for Automated Data Extraction of Macular Cube Spectral Domain Optical Coherence Tomography Data
Lecturer, Ophthalmology & Vision Sciences, University of Toronto
Consultant Ophthalmologist, Trillium Health Partners; Chair, St John of Jerusalem Eye Hospital Group Ophthalmic Association - Canada
The St John Eye Hospital
Assistant Professor, Department of Computer Science and Temerty Faculty of Medicine
Basics of Artificial Intelligence, Machine Learning, and Deep Learning
Vice President - Data Science and Advanced Analytics, Unity Health Toronto; Odette Chair in Advanced Analytics; Faculty Affiliate – Vector Institute; Director - University of Toronto Temerty Centre for Artificial Intelligence Research and Education in Medicine (T-CAIREM); Professor - University of Toronto
From Compute to Care: Trials and Tribulations of Deploying AI into Clinical Practice
Resident (PGY3), Ophthalmology & Vision Sciences, University of Toronto
Multi-centre validation of a deep learning model to conduct automated segmentation of swept-source optical coherence tomography images for macular hole volume
Resident (PGY4), Ophthalmology & Vision Sciences, University of Toronto
A Comparison of the Toronto Artificial Intelligence Model for Intraocular Lens Power Calculation to 12 Preoperative Formulas
Associate Professor, Dalla Lana School of Public Health, University of Toronto; Education Lead, U of T Temerty Centre for Artificial Intelligence Research and Education in Medicine (T-CAIREM); Faculty Affiliate, Vector Institute for Artificial Intelligence
AI and Big Data
Associate Professor, Ophthalmology & Vision Sciences, University of Toronto; Clinician Scientist at Institute for Better Health
AI in Eye Surgery: Establishing Surgical Learning Curves
Professor, Vice Chair of Education and Continuing Education Director, Research Director, Cornea Service, University Health Network, Toronto
Q&A Moderator, Concluding Remarks
Clinical Associate Professor and Clinical Director, School of Optometry and Vision Science, University of Waterloo
AI in Optometric Education and Research
Consultant Ophthalmologist, Moorfields Eye Hospital, London, UK
Current Status of AI in Ophthalmology
Consultant Ophthalmologist, Moorfields Eye Hospital, London, UK Hospitaller, the Most Venerable Order of St John of Jerusalem
Overview of the St John Ophthalmic Association &
Why We Will Always Need Human Intelligence
Professor, Canada Research Chair in AI and Medical Imaging, University of Waterloo
Towards Trustworthy and Transparent Computer Aided Diagnosis for the Eye
Ophthalmologist-in-Chief, St Michael's Hospital, Toronto
AI and the Retina
**Conference Co-Chair
*Conference Committee
Approved for 5.5 CPD hrs
Meeting ID: 840 9555 2116
Passcode: 861341
Note: participants' chat function will be disabled
Copyright © 2023 Artificial Intelligence and the Eye - All Rights Reserved.
Photo credits: Adobe Stock, Michael Dan, St John Ophthalmic Association
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