MSK Library Guides: Artificial Intelligence: Background

Welcome

Welcome!

Researchers are increasingly turning to computer-based systems to answer medical questions, including those related to diagnosis, treatment responses, genetic screening, and patient monitoring and care.

This guide aims to bring together resources on artificial intelligence in medicine, including publications by MSK researchers and resources available through the MSK Library. It also includes information on the use of natural language processing tools, like ChatGPT.

Johanna Goldberg
Research Informationist

This video was produced by The Royal Society, November 28, 2018.

Glossary of Terms - American College of Radiology
Radiology-related artificial intelligence terms defined
Machine Learning Glossary - Google
Defines general machine learning terms as well as terms specific to Google's machine learning platform, TensorFlow.

News and Media

Artificial Intelligence, Research, and Healthcare
News Feeds

Generative AI Tracker
Stat News is keeping track of how large language models are being implemented in healthcare. Create a login using your MSK email address for access.
AI Chatbots Have Thoroughly Infiltrated Scientific Publishing
Researchers suspect 1% of 2023 scientific journal articles were written with the help of AI. May 2024, Scientific American.
U.K. researchers warn about biases in medical devices, health care algorithms
AI tools need to consider gender, race, and other population factors when used in developing and testing healthcare tools. March 2024, StatNews.
New federal rules demand transparency into AI models used in health decisions
StatNews coverage United States regulations for vendors of AI tools, from 12/23.
Is AI leading to a reproducibility crisis in science?
AI study errors are numerous, and the effects could be large A December 2023 article from Nature News.
FACT SHEET: President Biden Issues Executive Order on Safe, Secure, and Trustworthy Artificial Intelligence
A briefing on President Biden's 10/30/23 executive order on artificial intelligence standards,
The ‘model-eat-model world’ of clinical AI: How predictive power becomes a pitfall
As AI predictive models improve, they become more prone to "data drift" and less reliable. An October 2023 Stat News article.
Use of AI Is Seeping Into Academic Journals—and It’s Proving Difficult to Detect
A case of easily spotted AI-generated text in a peer-reviewed paper begs the question of what is going undetected in this August 2023 Wired article.
Hospital bosses love AI. Doctors and nurses are worried.
This Washington Post article highlights pros and cons of AI applications in hospital settings.
Hospitals are testing AI to communicate with patients. They still don’t know how to talk to them about it
This June 2023 Stat News article explores the challenges inherent to using AI as part of the hospital workflow when sharing information with patients.
Will AI Perpetuate or Eliminate Health Disparities?
This May 2023 Medscape article examines algorithmic bias.
Making sense of AI research in medicine, in one slide
AI's potential role in healthcare spans the gamut, from aiding doctors with diagnosis to taking on administrative tasks. A STAT News article from May 2023.
A research team airs the messy truth about AI in medicine — and gives hospitals a guide to fix it
An April 2023 Stat News article on a report by Duke researchers on best practices for AI implementation in healthcare.
60% of Americans Would Be Uncomfortable With Provider Relying on AI in Their Own Health Care
A February 2023 report from the Pew Research Center.
The reproducibility issues that haunt health-care AI
This January 2023 feature from Nature explores the obstacles facing AI application in health care, including data errors, flawed algorithms, and bias.
Blueprint for an AI Bill of Rights
A document laying out the principles that should guide AI development, from President Biden's White House Office of Science and Technology Policy.

Google News
View results of a Google News search, sorted by date.
Search strategy: AI|artificial intelligence|algorithm|large language model|machine learning|deep learning health|medicine|cancer|healthcare
Science Daily
Artificial Intelligence news from Science Daily.
MedicalXpress
The latest MedicalXpress news results for artificial intelligence.
Nature: Innovations in AI and Digital Health
A collection of articles from Nature News on AI, health, and medicine.

Data-related Podcasts

Big Data Hub
From IBM, the Big Data & Analytics Hub is intended to be your source for information, content and conversation regarding big data analytics.
Data & Society
Presents timely conversations about the purpose and power of technology that bridge our interdisciplinary research with broader public conversations about the societal implications of data and automation
The Data Chief
In her twenty year career in analytics, Cindi Howson has had the opportunity to go behind the scenes with organizations who are truly exceptional when it comes to data. In The Data Chief, she brings these stories to life through insightful, inspiring interviews with some of the most successful data leaders, sharing lessons relevant for every data professional along the way.
Data Skeptic
"The podcast that is skeptical of and with data."
Data Stories
A bi-weekly podcast on data visualization.
Linear Digressions
"In each episode, your hosts explore machine learning and data science through interesting (and often very unusual) applications."
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.
Radical AI
A podcast centering marginalized or otherwise radical voices in industry and the academy for dialogue, collaboration, and debate regarding the field of Artificial Intelligence Ethics and the relationship between the humanities and machine learning
SuperDataScience Podcast with Jon Krohn
This podcast gathers the most inspiring Data Scientists, Analysts, and other professionals who leverage the power of Data from around the World, in a compact podcast to help you build your successful career.