Responsible Data-Centric AI for Healthcare and Medicine

Explore the intersection of responsible data-centric AI and healthcare in this 27-minute video featuring Stanford Assistant Professor James Zou. Delve into the development and deployment of machine learning algorithms for biomedical applications, focusing on cardiac ultrasound videos and clinical trial design. Examine the challenges of implementing healthcare AI systems in medical contexts, using dermatology as a case study. Learn about the importance of auditing and evaluating machine learning models, creating new datasets to address limitations, and utilizing data evaluations to clean and improve existing datasets. Gain valuable insights into the responsible use of AI in healthcare and medicine, and discover how data-centric approaches can enhance medical applications and improve patient outcomes.

Responsible Data-Centric AI for Healthcare and Medicine