Artificial Intelligence and Health Care Webinar (RECORDED)

Stanford University via Independent

Independent

60 Courses


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Overview

Immerse yourself in the fascinating intersection of artificial intelligence (AI) and health care with this recorded webinar brought to you by Stanford University's Center for Continuing Medical Education. Available anytime from its original airing on May 5, 2020, this webinar delves into the vision, opportunities, challenges, and implications AI holds for the health care industry. Collaboratively presented with Stanford's Presence, the National Academy of Medicine (NAM), and the U.S. Government Accountability Office (GAO), this session is a must-watch for professionals eager to understand the current and future impact of AI in health care.

The webinar features insightful discussions on two significant publications: "Artificial Intelligence in Health Care: The Hope, the Hype, the Promise, the Peril" by NAM and GAO's "Artificial Intelligence in Health Care: Benefits and Challenges of Machine Learning in Drug Development". These works explore the current AI solutions and their near-term potentials, the challenges and limitations of AI in health care, and the legal and regulatory frameworks shaping AI adoption. Furthermore, they underscore the importance of equity, inclusion, and a human rights perspective in AI development, alongside strategies to overcome the challenges to machine learning in drug development, including promoting basic research, enhancing data access and sharing, and clarifying regulatory frameworks.

This webinar is categorized under Artificial Intelligence Courses, Machine Learning Courses, Health Care Courses, Continuing Medical Education (CME) Courses, Human Rights Courses, and Inclusion Courses, and is provided independently by Stanford University. It represents a valuable opportunity for professionals in the health care and AI sectors to gain insights into the transformative potential of AI in medicine and health care.

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