Gastroenterology & Artificial Intelligence: 3rd Annual Global Artificial Intelligence Summit | September 2021-AI in Healthcare: Current Advances in AI and How it Translates to Medical Applications

AI in Healthcare: Current Advances in AI and How it Translates to Medical Applications

Video Transcription

Video Summary

In this video, Anima Anandkumar, a professor at Caltech and director of ML research at NVIDIA, discusses the ongoing AI revolution in healthcare. Anandkumar highlights the various ways AI can revolutionize hospitals, such as ongoing patient monitoring, contactless controls, body temperature screening, and enabling safe social distancing. She also discusses a collaborative project with Dr. Andrew Hung at USC Keck Medical, focused on analyzing surgical practices and providing feedback to surgeons. The project utilizes the Da Vinci system, a popular surgical platform. Anandkumar explains the process of breaking down surgical videos into distinct gestures and using AI models to assess skill levels and predict patient outcomes. The use of attention-based models and auxiliary supervision through kinematics data enhances the accuracy of the assessments. Anandkumar emphasizes the future goals of transferring the project to real surgery videos, providing corrective feedback to surgeons, and addressing issues of cognitive load and personalization of feedback. She also discusses the computational platform, NVIDIA Clara, which enables AI in healthcare applications by providing pre-trained models, assistance for data labeling, and federated learning for preserving privacy. Anandkumar concludes by highlighting the opportunities for AI and computation in healthcare and emphasizes the importance of collaboration between domain experts and AI experts.

Asset Subtitle

Anima Anankumar, PhD

Keywords

AI revolution in healthcare

patient monitoring

contactless controls

body temperature screening

surgical video analysis