Gastroenterology and Artificial Intelligence: 2nd Annual Artificial Intelligence Summit | October 2020-Panel Discussion: Innovative Applications of AI in Other Medical and Technology Fields. What Can We Learn?

Panel Discussion: Innovative Applications of AI in Other Medical and Technology Fields. What Can We Learn?

Video Transcription

Video Summary

In this video panel discussion, Tom, Ulas, Shravanthi, and Eric discuss the challenges and opportunities of integrating AI into healthcare. They touch on topics such as bias in algorithms, transparency, data privacy, and the potential for AI to improve the doctor-patient relationship. Tom emphasizes the importance of clinician involvement and awareness in AI initiatives. Eric discusses his book, "Deep Medicine," and how AI can restore the human relationship in medicine and reduce burnout. Ulas explains the concept of transfer learning and its potential applications in medical AI. Shravanthi discusses the need for collaboration and a centralized platform for storing and annotating medical images. The panel also addresses questions about education, payment models for AI tools, patient involvement, and building an endoscopy image library. The video concludes with a call for collaboration and engagement in advancing AI in healthcare. The panelists include Tom, Ulas, Shravanthi, and Eric, and the discussion is moderated by Pratik.

Asset Subtitle

Eric Topol, MD
Tom Lawry
Sravanthi Parasa, MD
Ulas Gabci, PhD

Keywords

AI in healthcare

bias in algorithms

transparency

doctor-patient relationship

transfer learning

medical images