Gastroenterology and Artificial Intelligence: 3rd Annual Artificial Intelligence Summit (On-Demand) | 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. She highlights various areas where AI can revolutionize hospitals, such as patient monitoring, contactless controls, body temperature screening, safe social distancing, fault prediction and prevention, and surgery analytics. Anandkumar also talks about a project in collaboration with Dr. Andrew Hung at USC Keck Medical, which aims to analyze surgical practices and provide feedback to surgeons using AI methodologies and robotic surgical practices. The project focuses on classifying suture gestures and uses state-of-the-art neural network architectures, including attention-based models, to assess surgical skills from videos and kinematics data. The goal is to transfer these findings to real surgery videos and provide corrective feedback to surgeons. Anandkumar also briefly discusses NVIDIA's computational platform, Clara, which enables AI in healthcare applications, including drug discovery and medical imaging. The platform offers pre-trained models, assistance for data labeling, and federated learning to preserve privacy. Anandkumar concludes by emphasizing the vast opportunities for AI in healthcare and the importance of collaboration between AI and domain experts.

Asset Subtitle

Anima Anankumar, PhD

Keywords

AI revolution in healthcare

patient monitoring

surgery analytics

neural network architectures

NVIDIA's computational platform