Glossaries and Taxonomies
- Essential AI Terms and Definitions for Implementing AI in Vendor Selection (AAMC)Quick definitions for key artificial intelligence (AI) terms.
- Glossary of AI Terms Current Version: 0.1 betaMedical Imaging & Technology Alliance (MITA), 2024
- FDA Digital Health and Artificial Intelligence Glossary – Educational ResourceU.S. Food and Drug Association (AMA), 2024
- EU Artificial Intelligence Act - Definitions (EU)European Union (EU), 2024
- AI in Medicine GlossaryEBSCO, 2024
- CPT Appendix S: AI taxonomy for medical services & proceduresAmerican Medical Association (AMA), 2023.
- A Glossary of Terms in Artificial Intelligence for HealthcareThis glossary provides AI definitions to aid healthcare professionals in understanding AI within the fourth industrial revolution, published in Arthroscopy: The Journal of Arthroscopic & Related Surgery, October 2024.
"Artificial Intelligence (AI): the historical definition, “using computers to solve problems that would normally require human intelligence,” doesn’t quite convey how the term is commonly used in 2024. Yesterday’s healthcare tools (Coulter counters, self-interpreting EKGs, and CT and MRI reconstructions) used complicated but rule-based explicit instructions and qualify as a form of artificial intelligence. The older programs functioned with man-made algorithms and didn’t generate new content or provide many new insights beyond what their programmers explicitly instructed them to do. The term AI today is generally being used in 2024 for programs that generate an output that either answers much more nuanced questions or produces content (usually in the form of words, images, or sounds) that may not have been previously answered or created by humans. Most commercially available AI programs today focus on one or two complicated tasks such as image/language recognition, speech/sound recognition, and/or complicated decision-making. When we talk about AI in 2024, we are usually talking about the subset of AI that is known as generative AI." - Artificial Intelligence (AI) Terms Define for Healthcare Providers. EBSCO Healthnotes. November 12, 2024
U.S. and International Guidelines
- Ethics and governance of artificial intelligence for health: Guidance on large multi-modal modelsWorld Health Organization, January 10, 2024.
- Principles for Augmented Intelligence Development, Deployment, and UseAmerican Medical Association (AMA) Policy on AI, November 2023.
- Voluntary Commitments from Leading Healthcare Companies to Harness the Potential and Manage the Risks Posed by AIU.S. Department of Health and Human Services, December 14, 2023.
- Principles for Augmented Intelligence Development, Deployment, and UseAmerican Medical Association (AMA) Policy on AI, November 2023.
Descriptive Frameworks
- Clinician checklist for assessing suitability of machine learning applications in healthcareDescribes general challenges and opportunities associated with the use of AI in medicine.
CITATION: Scott I, Carter S, Coiera E. Clinician checklist for assessing suitability of machine learning applications in healthcare. BMJ Health Care Inform 2021 Feb 05;28(1):e100251
- The need to separate the wheat from the chaff in medical informatics: Introducing a comprehensive checklist for the (self)-assessment of medical AI studiesOffers a practical checklist to help authors to self assess the quality of their contribution and to help reviewers to recognize and appreciate high-quality medical ML studies by distinguishing them from the mere application of ML techniques to medical data.
CITATION: Cabitza F, Campagner A. The need to separate the wheat from the chaff in medical informatics: Introducing a comprehensive checklist for the (self)-assessment of medical AI studies. Int J Med Inform. 2021 Sep;153:104510. Epub 2021 Jun 2. PMID: 34108105.
- How to Read Articles That Use Machine Learning: Users’ Guides to the Medical LiteratureProvides an overview of machine learning and how to assess the published literature describing the use of machine learning-based tools to establish medical diagnoses.
CITATION: Liu Y, Chen PC, Krause J, Peng L. How to Read Articles That Use Machine Learning: Users’ Guides to the Medical Literature. JAMA. 2019;322(18):1806–1816. doi:10.1001/jama.2019.16489
- Guidelines for Artificial Intelligence in Medicine: Literature Review and Content Analysis of FrameworksLiterature review and content analysis.
CITATION: Crossnohere N, Elsaid M, Paskett J, Bose-Brill S, Bridges J. J Med Internet Res 2022;24(8):e36823 URL: https://www.jmir.org/2022/8/e36823 PMID: 36006692; PMCID: PMC9459836