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Artificial Intelligence in Medicine - AI Guidelines

A curated collection aimed at providing valuable insights into the evolving landscape of AI in healthcare.

Glossaries and Taxonomies

"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

Descriptive Frameworks

Guide Information

Last Updated: Apr 16, 2025 10:39 AM
URL: https://libguides.pcom.edu/ai_medicine