Artificial Intelligence (AI) in Learning and Discovery: AI in Research and Scholarship

This guide explores artificial intelligence (AI) in academic research, the healthcare community, and education. It aims to strengthen AI literacy, support critical evaluation, and connect users with key tools and resources.

AI in Research and Scholarship

Artificial intelligence is also changing the landscape of research and scholarship, and just like with the literature on teaching and learning, the Levy Library/Educational Technology is here to assist you in staying current with new advancements in these areas. To help all of us stay current, we've set up the four feeds in the tabs below this one, showcasing recent literature and information on applications, best practices, and tools concerning evidence-based practice, clinical decision making, research syntheses including systematic reviews, scientific publishing, and research enterprise.

ISMMS Writing Support Service
The ISMMS Writing Support Service provides students, housestaff, and postdocs with 1:1 consultations from an experienced science writer and editor in a collaborative, non-judgmental, and confidential setting. The service is designed to help you improve your writing skills.
NIH: Artificial Intelligence in Research: Policy Considerations and Guidance
The NIH Office of Science Policy (OSP) has issued a new resource to assist the research community in understanding how NIH policies guide artificial intelligence (AI)-related research. The purpose of the resource is to illustrate the applicability of existing policies and guidance to research involving AI technologies.
Not A Blank Space: Policy Considerations for AI in Research
To gain further perspective how NIH is approaching AI-related research, please see this Under the Poliscope blog post from NIH Associate Director for Science Policy, Dr. Lyric Jorgenson.

NEJM AI Subscription

The Levy Library subscribes to NEJM AI.

NEJM AI is the first publication to intersect clinical and technology innovators, applying research and publishing standards of the New England Journal of Medicine to assess the promises and challenges of AI in clinical applications. Gain access this resource via OpenAthens.