LibGuides: 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.

Johanna Goldberg
Research Informationist II

Artificial Intelligence, Research, and Healthcare

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.
To prevent unnecessary biopsies, scientists train an AI model to predict breast cancer risk from MRI scans
An October 2022 Stat News article about a study that uses an algorithm to predict breast cancer in MRI images.
Do AI validation studies leave out key information?
AuntMinnie.com reports on an October 2022 study on how published AI research often excludes key information needed for replication.
Five ways deep learning has transformed image analysis
A September 2022 Nature News article on the impact of AI on image data extraction.
Sloppy Use of Machine Learning Is Causing a ‘Reproducibility Crisis’ in Science
A Wired article from August 2022.
Taking a Closer Look at AI and Diagnoses
How AI could change disease diagnosis and treatment. From Discover Magazine, June 2022.
Medicine, AI, and Bias: Will Bad Data Undermine Good Tech?
A Medscape/WebMD article from May 2022 on issues with bias in AI.
Patient Attitudes Toward AI in Healthcare: It Depends
A May 2022 feature from Medscape explores the contexts in which patients are comfortable with AI in healthcare.
‘We need to be much more diverse’: More than half of data used in health care AI comes from the U.S. and China
An April 2022 Stat article explores the issue of "data deserts" in AI.
When AI takes a human touch: How a team effort to improve patient care in hospitals paid off
A March 2022 article from Stat News.
The Pain Was Unbearable. So Why Did Doctors Turn Her Away?
An August 2021 Wired article about the failures of an algorithm tracking patient opioid use.

Machine Learning & Artificial Intelligence (11:50 min)

This video was produced by Crash Course (https://thecrashcourse.com/about) in collaboration with PBS Digital Studios.

News Feeds

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.

Definitions

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.

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.

For Help, Contact:

Johanna Goldberg

she/her

Contact:

goldbej2@mskcc.org
Reference: 212-639-7439
Cell: 347-803-5462

Subjects: Education & Training, Radiology