Artificial Intelligence in Medicine and Healthcare - AI Online Training

This free webinar series will explore critical concepts, the current landscape, and practical strategies drawn from various perspectives and institutions to support you in navigating the evolving world of AI in academic medicine. Sessions will feature resources and best practices that you can apply across various settings, as well as time for Q&A with the featured speakers.

This 3-part course is designed to teach you how to use the emerging technology of artificial intelligence (AI) to support and enhance your practice. Technological innovations can reduce administrative burden, improve payment models, and protect the scope of family medicine. AI can process data to predict health-related outcomes important to your patients, such as opioid use, emergency department visits, and death.

Artificial and Augmented Intelligence are rapidly changing technologies with wide-reaching medical implications. Earn CME credits while learning at your own pace. 12.5 CME Credits.

The field of AI in healthcare is so promising that many excellent online and office courses have sprung up to explain the technical side of how to build these AI models. But in his recent webinar, How Artificial Intelligence Can Improve Healthcare, Dr. Shah cautions that solid engineering is far from the only important consideration when deploying AI in healthcare settings.

Implementing AI models in this field requires a thorough understanding of the systems, safeguards and ethics behind these tools. A recent webinar, hosted by faculty from Stanford’s Artificial Intelligence in Healthcare program, explored important topics of concern.