"Artificial Intelligence" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
Theory and development of COMPUTER SYSTEMS which perform tasks that normally require human intelligence. Such tasks may include speech recognition, LEARNING; VISUAL PERCEPTION; MATHEMATICAL COMPUTING; reasoning, PROBLEM SOLVING, DECISION-MAKING, and translation of language.
Descriptor ID |
D001185
|
MeSH Number(s) |
G17.035.250 L01.224.050.375
|
Concept/Terms |
Artificial Intelligence- Artificial Intelligence
- Intelligence, Artificial
- Computational Intelligence
- Intelligence, Computational
- Machine Intelligence
- Intelligence, Machine
- Computer Reasoning
- Reasoning, Computer
- AI (Artificial Intelligence)
Computer Vision Systems- Computer Vision Systems
- Computer Vision System
- System, Computer Vision
- Systems, Computer Vision
- Vision System, Computer
- Vision Systems, Computer
|
Below are MeSH descriptors whose meaning is more general than "Artificial Intelligence".
Below are MeSH descriptors whose meaning is more specific than "Artificial Intelligence".
This graph shows the total number of publications written about "Artificial Intelligence" by people in this website by year, and whether "Artificial Intelligence" was a major or minor topic of these publications.
To see the data from this visualization as text,
click here.
Year | Major Topic | Minor Topic | Total |
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2004 | 1 | 0 | 1 |
2005 | 0 | 1 | 1 |
2006 | 3 | 0 | 3 |
2007 | 3 | 2 | 5 |
2008 | 1 | 0 | 1 |
2009 | 2 | 2 | 4 |
2010 | 1 | 3 | 4 |
2011 | 2 | 0 | 2 |
2012 | 3 | 2 | 5 |
2013 | 1 | 0 | 1 |
2014 | 4 | 1 | 5 |
2015 | 1 | 0 | 1 |
2017 | 1 | 0 | 1 |
2020 | 3 | 0 | 3 |
2021 | 4 | 1 | 5 |
2022 | 1 | 0 | 1 |
2023 | 2 | 0 | 2 |
2024 | 4 | 0 | 4 |
2025 | 0 | 1 | 1 |
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Below are the most recent publications written about "Artificial Intelligence" by people in Profiles.
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A Vision Transformer Model for the Prediction of Fatal Arrhythmic Events in Patients with Brugada Syndrome. Sensors (Basel). 2025 Jan 30; 25(3).
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ItpCtrl-AI: End-to-end interpretable and controllable artificial intelligence by modeling radiologists' intentions. Artif Intell Med. 2025 Feb; 160:103054.
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Family Medicine Must Prepare for Artificial Intelligence. J Am Board Fam Med. 2024 Jul-Aug; 37(4):520-524.
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Exploring Artificial Intelligence and the Future of Primary Care. Ann Fam Med. 2024 Mar-Apr; 22(2):174-175.
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What Complexity Science Predicts About the Potential of Artificial Intelligence/Machine Learning to Improve Primary Care. J Am Board Fam Med. 2024; 37(2):332-345.
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Long Way to Go: Attitudes, Knowledge, and Perception of Artificial Intelligence in Health Care, Among a Racially Diverse, Lower Income Population in Houston, New York, and Los Angeles. Popul Health Manag. 2024 Feb; 27(1):90-93.
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Time for a full digital approach in nephropathology: a systematic review of current artificial intelligence applications and future directions. J Nephrol. 2024 Jan; 37(1):65-76.
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Competencies for the Use of Artificial Intelligence in Primary Care. Ann Fam Med. 2022; 20(6):559-563.
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Advancing primary care with Artificial Intelligence and Machine Learning. Healthc (Amst). 2022 Mar; 10(1):100594.
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Is Artificial Intelligence the Key to Reclaiming Relationships in Primary Care? Am Fam Physician. 2021 Dec 01; 104(6):558-559.