 Artificial Intelligence
"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
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| MeSH Number(s) |
G17.035.250 L01.224.050.375
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| 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
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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 |
|---|
| 2009 | 0 | 1 | 1 | | 2010 | 0 | 1 | 1 | | 2020 | 1 | 0 | 1 | | 2022 | 0 | 1 | 1 | | 2023 | 1 | 3 | 4 | | 2024 | 6 | 0 | 6 |
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Below are the most recent publications written about "Artificial Intelligence" by people in Profiles.
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Shapiro MR, Tallon EM, Brown ME, Posgai AL, Clements MA, Brusko TM. Leveraging artificial intelligence and machine learning to accelerate discovery of disease-modifying therapies in type 1 diabetes. Diabetologia. 2025 Mar; 68(3):477-494.
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Miller C, Manious M, Portnoy J. Artificial intelligence and machine learning for anaphylaxis algorithms. Curr Opin Allergy Clin Immunol. 2024 Oct 01; 24(5):305-312.
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Du X, Hao S, Olsson H, Kartasalo K, Mulliqi N, Rai B, Menges D, Heintz E, Egevad L, Eklund M, Clements M. Effectiveness and Cost-effectiveness of Artificial Intelligence-assisted Pathology for Prostate Cancer Diagnosis in Sweden: A Microsimulation Study. Eur Urol Oncol. 2025 Feb; 8(1):80-86.
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Pandya A, Waller M, Portnoy JM. How Can Artificial Intelligence Help With Management of Allergic Conditions? J Allergy Clin Immunol Pract. 2024 Apr; 12(4):1017-1018.
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Cuna A, Premkumar MH, Sampath V. Artificial intelligence to classify acquired intestinal injury in preterm neonates-a new perspective. Pediatr Res. 2024 Jul; 96(1):30-32.
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Nimri R, Phillip M, Clements MA, Kovatchev B. Closed-Loop Control, Artificial Intelligence-Based Decision-Support Systems, and Data Science. Diabetes Technol Ther. 2024 Mar; 26(S1):S68-S89.
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Farman MR, Rehder C, Malli T, Rockman-Greenberg C, Dahir K, Martos-Moreno G?, Linglart A, Ozono K, Seefried L, Del Angel G, Webersinke G, Barbazza F, John LK, Delana Mudiyanselage SMA, H?gler F, Nading EB, Huggins E, Rush ET, El-Gazzar A, Kishnani PS, H?gler W. The Global ALPL gene variant classification project: Dedicated to deciphering variants. Bone. 2024 01; 178:116947.
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Sala A, Cameron JM, Brennan PM, Crosbie EJ, Curran T, Gray E, Martin-Hirsch P, Palmer DS, Rehman IU, Rattray NJW, Baker MJ. Global serum profiling: an opportunity for earlier cancer detection. J Exp Clin Cancer Res. 2023 Aug 15; 42(1):207.
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Pandya A, Parashar S, Waller M, Portnoy J. Telemedicine beyond the pandemic: challenges in the pediatric immunology clinic. Expert Rev Clin Immunol. 2023 Jul-Dec; 19(9):1063-1073.
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Feldman K, Nehme F. Beyond Clinical Accuracy: Considerations for the Use of Generative Artificial Intelligence Models in Gastrointestinal Care. Gastroenterology. 2023 08; 165(2):336-338.
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