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Artificial Intelligence (AI) in Learning and Discovery: Home

About this Guide

Frontiers of Medical Research: Artificial Intelligence cover with stylized diagrams and equations behind title


This supplement to the journal Science, sponsored by the Icahn School of Medicine at Mount Sinai, contains eight articles which discuss the use of artificial intelligence in medicine and medical research.

Oberst J, editor. Supplement: Frontiers of medical research: Artificial intelligence. Washington (DC): Science/AAAS; 2023. 




The Levy Library + Instructional Technology Group is your partner in utilizing AI in teaching and learning. To help all of us keep up with the ever-changing world of AI, we've created this guide to connect faculty, staff, students, and researchers with resources in and outside of the library to support your needs in conducting, facilitating and overseeing the use of artificial intelligence.

What's in This Guide:

  • PubMed and Scopus feeds of recent literature on several aspects of AI in teaching, learning, research, and scholarship, with instructions on setting up automated digests sent directly to your email
  • A blog you can subscribe to with a digest of recent literature from a variety of sources, such as reports and working papers, on AI in teaching and learning 
  • Links to tools and resources on different ways AI can be implemented in educational and research pursuits
  • Information on committees and departments involved in AI at Mount Sinai
  • AI events around and beyond Mount Sinai

Please select the tabs on the left-hand side to get started, and feel free to reach out to the Library team with any questions.

What is Artificial Intelligence?

Artificial intelligence is "the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings. The term is frequently applied to the project of developing systems endowed with the intellectual processes characteristic of humans, such as the ability to reason, discover meaning, generalize, or learn from past experience."

Source: Encyclopaedia Britannica