Allen School Distinguished Lecture: Peter Lee (Microsoft Research & Incubations)
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- Опубликовано: 1 авг 2024
- Title: The Emergence of General AI for Medicine
Abstract:
Large language models, such as GPT-4 and later more powerful ones, have emerged as powerful new tools for information work, particularly when coupled with chat interfaces as in ChatGPT. These systems are demonstrating impressive capabilities across many domains, and they have the potential to improve health-care delivery and accelerate medical science. In this talk, we will present the results of our intensive year-long study exploring the benefits and risks of applying these systems to medicine. Our findings indicate that these systems may be the most significant technological advance in health care and medicine to date, despite receiving no specialized training in the field. We will showcase examples of how general AI can be used in health care and medicine, and then discuss the implications for the future as these systems continue to evolve, becoming increasingly more intelligent and capable.
Bio:
Dr. Peter Lee is Corporate Vice President, Research and Incubations, at Microsoft. He leads Microsoft Research across its nine laboratories around the world. He also oversees several incubation teams for new research-powered lines of business, the largest of which today is Microsoft's growing healthcare and life sciences effort. Dr. Lee has extensive experience in managing fundamental research to commercial impact in a range of areas, spanning artificial intelligence, to quantum computing, to biotechnology, and more. Before joining Microsoft in 2010, he was at DARPA, where he established a new technology office that created operational capabilities in machine learning, data science, and computational social science. From 1987 to 2005 he was a Professor at Carnegie Mellon University, and from 2005 to 2008 the Head of the university’s computer science department. Today, in addition to his management responsibilities, Dr. Lee speaks and writes widely on technology trends and policies. He is a member of the National Academy of Medicine. He serves on the Boards of Directors of the Allen Institute for Artificial Intelligence, the Brotman Baty Institute for Precision Medicine, and the Kaiser Permanente Bernard J. Tyson School of Medicine. In public service, Dr. Lee was a commissioner on President Obama's Commission on Enhancing National Cybersecurity and led several studies for both PCAST and the National Academies on the impact of federal research investments on economic growth. He has testified before both the US House Science and Technology Committee and the US Senate Commerce Committee.
This Distinguished Lecture was held on March 28, 2023.
This video is closed captioned.
Wow!!!! It's been a long time since I watched a video that had such a profound impact on me. As a health administer (that tries to implement innovative programs), we are in a state of unsustainability in healthcare. We are not innovative and we are not efficiently making decisions that improve patient outcomes. Currently, the healthcare system is imploding and can't survive the escalating costs to deliver inefficient healthcare. Population health management (especially in the large EHRs) does not allow us to quickly, easily, or efficiently locate and track data that will make a difference in patient outcomes. Providers are click monkeys and support staff and nursing are too busy working on today's reactive style of medicine to think about "not today's work" which is the management of patient populations and panels. Thank you Peter Lee for explaining the future in an easy to understand format. I'm more optimistic now.
I'm a RN and what Peter Lee talks about is very true and moving forward to help with prior auth will be such a game changer especially with clinical documentation. Excited AI is on the forefront of healthcare...
I am a retired Physician, after listening the video, I glad that I will be watching the development from the gallery with scare and excitement.
Such a great lecture! Did just want to point out on the labwork - the hb level was 15.5 which was on the high end of normal, which it noted in the analysis. It then went on to say that he may have anemia which would be from a low hb, so its analysis of the report was way off - still seems a little risky to be using for medical purposes without clinical oversight this early!
Exciting times ahead! Thank you Peter Lee for a fantastic talk! Inspired!
Amazing lecture. This lecture explains perfectly the potential of transformers in Medicine and how fundamentally medicine will be change in the next couple years pending its implementation.
Great video!
Am I the only one that saw the movie War Games in the 80s? Y'all ain't scared?
Very interesting
It is said that AI must learn from large amounts of data. How much data did the bee learn from when it saw the flower for the first time. At the first contact with the flower, he already knows how to approach the flower from every direction. Has AI made at least that much progress?
58:11 aren’t they getting answers from someones else’s answers