Eye to Eye Ophthalmology: Artificial Intelligence in Ophthalmology - a conversation with Pearse Keane
May 13, 2021
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Pearse Keane, an expert in AI within Ophthalmology and a Consultant Ophthalmologist at Moorfields Eye Hospital, discusses the application of AI in interpreting OCT scans and diabetic retinopathy screening. He explores the potential use of AI-based measurements for prophylactic treatment in a clinical trial for wet AMD. Keane also talks about the challenges of training AI models with OCT scans and the future potential of AI tools in interpreting advanced imaging and genetic data in eye clinics.
Artificial intelligence has the potential to assist ophthalmologists in interpreting OCT scans for various retinal diseases, but challenges such as generalizability and regulatory approval need to be addressed.
AI technology in ophthalmology is not a replacement for doctors, but rather a tool that can enhance patient care delivery by helping ophthalmologists analyze patient data and provide individualized care.
Deep dives
Background and Expertise
Pierce Keen, a consultant ophthalmologist at Moorfield Eye Hospital in London, discusses his background in ophthalmology training, research, and current positions in clinical academia. He highlights the privilege of his research funding, which allows him to dedicate 80% of his time to research. Keen expresses his love for seeing patients and emphasizes that it informs his research work.
Artificial Intelligence in Ophthalmology
Keen discusses the application of artificial intelligence (AI) in ophthalmology, focusing on OCT imaging. He mentions the early success of using AI for diabetic retinopathy screening, highlighting publicly available datasets that stimulated machine learning research. Keen explains the potential of AI in interpreting OCT scans for various retinal diseases, including macular degeneration. However, he emphasizes the challenges of ensuring generalizability, technical maturity, clinical validation, regulatory approval, and implementation pathways for AI systems in real-world clinical settings.
Future of Artificial Intelligence in Ophthalmology
Keen envisions a future where AI tools assist ophthalmologists in analyzing various patient data, including imaging, genetic information, and environmental factors. He believes that ophthalmologists will use narrow AI tools to make sense of this abundance of data and provide individualized patient care. However, Keen emphasizes that AI technology is not a replacement for doctors but rather a tool to enhance patient care delivery.
In this episode we speak with Pearse Keane, a leader in AI within Ophthalmology and a Consultant Ophthalmologist at Moorfields Eye Hospital. We talked about the differences between self-driving cars and Ophthalmology when it comes to machine learning. We took a deep dive into what the future might hold for the real world application of AI in our specialty and what the barriers might be.
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