Explainable AI Techniques Towards Clinical Adoption in Medical Imaging

Explainable AI Techniques Towards Clinical Adoption in Medical Imaging

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the cutting-edge field of Explainable AI (XAI) in medical imaging through this 55-minute lecture by Dr. Nicolas Karakatsanis, Assistant Professor of Biomedical Engineering at Weill Cornell Medical College. Delve into a comprehensive taxonomy of XAI methods, focusing on post-hoc and ad-hoc techniques. Examine disease-specific XAI applications and the Co-12 categorization scheme. Gain valuable insights into the potential for clinical adoption of XAI in medical imaging, with detailed chapter breakdowns covering introduction, method classifications, and specific applications in the healthcare domain.