Doctors Who Code: Why Physicians Should Build Artificial Intelligence | Logan Nye | TEDxBoston
Logan Nye, MD is a physician who develops artificial intelligence systems for patient care. While building diagnostic AI at Harvard Medical School, he realized that clinical AI suffers from a gap in understanding between physicians and data scientists. Physicians understand medicine, but cannot code. Developers can build models, but lack medical expertise. This makes the process of building AI for healthcare slow and inaccurate. But what if one person could do both - a doctor who codes? That's what Logan Nye does, and that's where he believes the medical field is heading.
Coding, Disease, Health, Machine Learning, Medicine, Technology I'm a physician who specializes in artificial intelligence and deep learning, combining my medical training and programming skillset to improve healthcare and advance scientific discovery. I believe that the most significant biomedical breakthroughs of our generation will occur at this intersection — the convergence of computation, intelligence, and medicine. I plan to spend my career contributing to this space. I work on deep learning for healthcare at Harvard Medical School and Massachusetts General Hospital, where I research and deploy innovative AI solutions for orthopaedic surgery and oncology. I plan to use my unique combination of medical and technological knowledge to pioneer a new type of medical career based on high-performance computing and quantitative approaches to patient care. My long-term goal is to use emerging technologies like artificial intelligence and quantum computing to address health challenges, improve patient care, and cure diseases. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx
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