Medicine and AI Scholars

Medicine and AI Scholars is a student-led, interdisciplinary initiative created to spread awareness about the inclusion of artificial intelligence and machine learning in medicine. This growing shift brings advantages and disadvantages, and it’s important to understand both sides to create a more effective healthcare field for the 21st century.

Podcasts

"NEJM AI Grand Rounds"

NEJM AI Grand Rounds, hosted by Arjun (Raj) Manrai, Ph.D. and Andrew Beam, Ph.D., features informal conversations with a variety of unique experts exploring the deep issues at the intersection of artificial intelligence, machine learning, and medicine. You’ll learn how AI will change clinical practice and healthcare, how it will impact the patient experience, and about the people who are pushing for innovation. Whether you are an AI researcher or a practicing clinician, these conversations will enlighten and surprise you as we journey through this very exciting field. Produced by NEJM Group.

Articles

AI in Medicine, New England Journal of Medicine

Doctors Wrestle With A.I. in Patient Care, Citing Lax Oversight by Christina Jewett

An AI revolution is brewing in medicine. What will it look like? by Mariana Lenharo

Opinion | Can AI solve medical mysteries? It’s worth finding out. by Bina Venkataraman

To safely deploy generative AI in health care, models must be open source by Augustin Toma, M.D., Senthujan Senkaiahliyan, Patrick R. Lawler, M.D., Barry Rubin, M.D., Ph.D., and Bo Wang, Ph.D. Nature

Medicine’s Lessons for AI Regulation by Laura Stark, Ph.D. New England Journal of Medicine

Benefits, Limits, and Risks of GPT-4 as an AI Chatbot for Medicine by Peter Lee, Ph.D., Sebastien Bubeck, Ph.D., and Joseph Petro, M.S., M.Eng. New England Journal of Medicine

Artificial Intelligence and Machine Learning in Clinical Medicine, 2023 by Charlotte J. Haug, M.D., Ph.D., and Jeffrey M. Drazen, M.D.

Patient Portal by Carey Goldberg

Google AI has better bedside manner than human doctors — and makes better diagnoses by Mariana Lenharo

Mind the Gap — Machine Learning, Dataset Shift, and History in the Age of Clinical Algorithms by Andrew S. Lea, M.D., D.Phil., and David S. Jones, M.D., Ph.D., NEJM

Medical Artificial Intelligence and Human Values by Kun-Hsing Yu, M.D. et al., NEJM

The Ethics of Relational AI — Expanding and Implementing the Belmont Principles by Ida Sim, M.D., Ph.D., and Christine Cassel, M.D., NEJM

The testing of AI in medicine is a mess. Here's how it should be done by Mariana Lenharo, Nature

"Dr. Chatbot Will See You Now" by Teddy Rosenbluth

"Large Language Models and the Degradation of the Medical Record" by Liam G. McCoy et al. 

“Artificial intelligence in positive mental health: a narrative review” by Anoushka Thakkar

“Psychological science is ‘all in’ on examining AI, loneliness, and misinformation”  by Zara Abrams

“Integrating LLM and Behavioral Sensing for Personalized AI-Driven Journaling Experiences” by Subigya Nepal et al.

“Evaluating Therabot: A Randomized Control Trial Investigating the Feasibility and Effectiveness of a Generative AI Therapy Chatbot for Depression, Anxiety, and Eating Disorder Symptom Treatment” by Michael V. Heinz et al.

“Out with AI, in with the psychiatrist: a preference for human-derived clinical decision support in depression care” by Marta M. Maslej et al.

Books

The AI Revolution in Medicine: GPT-4 and Beyond by Peter Lee, Carey Goldberg, and Isaac Kohane, M.D., Ph.D.

Resource Bibliography of Reading and Links