A new program launched by the Stanford Center for Health Education aims to advance the delivery of patient care and improve global health outcomes through artificial intelligence (AI) and machine learning (ML). Intended to foster understanding for how AI and ML can be used to advance patient care and improve global health outcomes, the online program will feature Stanford Medicine-affiliated faculty and it is targeted toward healthcare providers, technology professionals, and computer scientists.
“Effective use of AI in healthcare requires knowing more than just the algorithms and how they work,” said Nigam Shah, associate professor of medicine and biomedical data science, the faculty director of the new program. “Stanford’s AI in Healthcare program will equip participants to design solutions that help patients and transform our healthcare system. The program will provide a multifaceted perspective on what it takes to bring AI to the clinic safely, cost-effectively, and ethically.”
AI and ML are high-growth areas in healthcare, enabling personalized care, risk assessment, and predictive analytics using large patient datasets.
The Stanford AI and Healthcare program includes four courses, hosted on Coursera, including healthcare AI trends and implications; ethics; impact of AI on patient safety, quality, research and the business of medicine; and the real-world application of AI in pharma, medicine, and technology. Participants can earn a Stanford Online specialization certificate.
Read the press release here.
Learn more about the AI and Healthcare online program here.
(Source: Stanford Center for Health Education, August 10, 2020)