ArticleJournal of community hospital internal medicine perspectives2026
Artificial Intelligence in Medicine: A Definition of Terms.
Article in Journal of community hospital internal medicine perspectives, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
0 citing papers in PubMed.
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Authors and funding
2 authors.
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Abstract
As artificial intelligence (AI) tools gain traction in clinical, operational, and administrative settings, healthcare professionals must develop a foundational understanding of key AI concepts to engage with these technologies responsibly and effectively. This perspective outlines essential AI terminology-such as machine learning, generative and agentic AI, large language models, artificial neural networks, and prompt engineering-paired with concrete clinical examples to illustrate their relevance in modern medical practice. By clarifying these terms and exploring their applications, this paper aims to equip healthcare leaders with the vocabulary and context necessary to evaluate, implement, and oversee AI systems within their organizations. Such literacy is critical to ensuring that AI technologies are used ethically, transparently, and in service of improving patient outcomes.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.