AZHIN: Artificial Intelligence in Health Care and Medicine: GAI (Generative Artificial Intelligence)

"Generative AI refers to a category of AI algorithms that look for patterns and structures in the sample data and come up with new ones.

For example, it can simulate discussions and learn to find out how we, people, would be satisfied with the results. But it does it billions of times a day. So it improves at an unbelievable rate." (themedicalfuturist.com)

GAI Use in Academic Research & Publishing

Using GAI Chatbots for Research or Writing
Note: HonorHealth Libraries does not endorse the use of any of these products.

	CHiQA (beta version), an experimental AI system from the National Library of Medicine
	Perplexity AI: Users like how Perplexity answers include links to the source information it used, allowing users to check for accuracy. Read how to get started and FAQs.
	Semantic Scholar "Search...papers from all fields of science with filters such as journals and conferences, authors, publication types, and date range."
	Med-PaLM: This is in closed beta testing as of March 2024, so keep an eye out for announcements that it is ready for public use. A Google product; created for the "medical domain"
Generative AI Product Tracker lists products "that are either marketed specifically towards postsecondary faculty or students or appear to be in use by postsecondary faculty or students for teaching, learning, or research activities."

GAI in Health Care

Generative AI for Health Information: A Guide to Safe Use (Yale Medicine; 2024)

Techopedia Explains Generative AI (Techopedia.com)

Evaluating the Reliability and Authority of AI-Generated text and media (University of South Florida Libraries)

Generative AI In Health Care: Opportunities, Challenges, and Policy (Health Affairs Forefront, January 8, 2024)

Generative AI tools and assessment: Guidelines of the world's top-ranking universities (Computers and Education Open, V5, 2023)

Tackling healthcare’s biggest burdens with generative AI (McKinsey & Company)

The Challenges and Benefits of Generative AI in Health Care. Azeem Azhar talks with Eric Topol.

All pages of this Artificial Intelligence (AI) Guide provide an introduction to this evolving field for HonorHealth employees, faculty, fellows, residents, and staff. Due to the rapid advancement of this emerging technology, information may become outdated at times. All links, organizations, and products presented here are for informational purposes only. This information supplements but does not supersede information from HonorHealth policies and guidelines.