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.
The study and implementation of techniques and methods for designing computer systems to perform functions normally associated with human intelligence, such as understanding language, learning, reasoning, and problem solving.
Descriptor ID |
D001185
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MeSH Number(s) |
L01.224.065
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Concept/Terms |
Artificial Intelligence- Artificial Intelligence
- Intelligence, Artificial
- Computational Intelligence
- Computational Intelligences
- Intelligence, Computational
- Intelligences, Computational
- Machine Intelligence
- Intelligence, Machine
- AI (Artificial Intelligence)
- AIs (Artificial Intelligence)
- Computer Reasoning
- Reasoning, Computer
Knowledge Acquisition (Computer)- Knowledge Acquisition (Computer)
- Acquisition, Knowledge (Computer)
- Acquisitions, Knowledge (Computer)
- Knowledge Acquisitions (Computer)
Computer Vision Systems- Computer Vision Systems
- Computer Vision System
- System, Computer Vision
- Systems, Computer Vision
- Vision System, Computer
- Vision Systems, Computer
Knowledge Representation (Computer)- Knowledge Representation (Computer)
- Knowledge Representations (Computer)
- Representation, Knowledge (Computer)
- Representations, Knowledge (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 |
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2003 | 0 | 1 | 1 | 2006 | 0 | 1 | 1 | 2008 | 2 | 1 | 3 | 2012 | 0 | 1 | 1 | 2019 | 1 | 0 | 1 | 2021 | 1 | 1 | 2 |
To return to the timeline, click here.
Below are the most recent publications written about "Artificial Intelligence" by people in Profiles.
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Harada GK, Siyaji ZK, Mallow GM, Hornung AL, Hassan F, Basques BA, Mohammed HA, Sayari AJ, Samartzis D, An HS. Artificial intelligence predicts disk re-herniation following lumbar microdiscectomy: development of the "RAD" risk profile. Eur Spine J. 2021 08; 30(8):2167-2175.
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Avila RS, Fain SB, Hatt C, Armato SG, Mulshine JL, Gierada D, Silva M, Lynch DA, Hoffman EA, Ranallo FN, Mayo JR, Yankelevitz D, Estepar RSJ, Subramaniam R, Henschke CI, Guimaraes A, Sullivan DC. QIBA guidance: Computed tomography imaging for COVID-19 quantitative imaging applications. Clin Imaging. 2021 Sep; 77:151-157.
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Gomez J, Doukky R. Artificial Intelligence in Nuclear Cardiology. J Nucl Med. 2019 Aug; 60(8):1042-1043.
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Arnold SE, Xie SX, Leung YY, Wang LS, Kling MA, Han X, Kim EJ, Wolk DA, Bennett DA, Chen-Plotkin A, Grossman M, Hu W, Lee VM, Mackin RS, Trojanowski JQ, Wilson RS, Shaw LM. Plasma biomarkers of depressive symptoms in older adults. Transl Psychiatry. 2012 Jan 03; 2:e65.
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Rubin MA, Mayer J, Greene T, Sauer BC, Hota B, Trick W, Trick WE, Jernigan JA, Samore MH. An agent-based model for evaluating surveillance methods for catheter-related bloodstream infection. AMIA Annu Symp Proc. 2008 Nov 06; 631-5.
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Yang JY, Yang MQ, Dunker AK, Deng Y, Huang X. Investigation of transmembrane proteins using a computational approach. BMC Genomics. 2008; 9 Suppl 1:S7.
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Yang JY, Yang MQ, Luo Z, Ma Y, Li J, Deng Y, Huang X. A hybrid machine learning-based method for classifying the Cushing's Syndrome with comorbid adrenocortical lesions. BMC Genomics. 2008; 9 Suppl 1:S23.
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Taslidere E, Cohen FS, Georgiou G. Classification of the stages of hyperplasia in breast ducts by analyzing different depths and segmentation of ultrasound breast scans into ductal areas. Conf Proc IEEE Eng Med Biol Soc. 2006; 2006:2396-9.
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Akpek G, Lee SJ, Flowers ME, Pavletic SZ, Arora M, Lee S, Piantadosi S, Guthrie KA, Lynch JC, Takatu A, Horowitz MM, Antin JH, Weisdorf DJ, Martin PJ, Vogelsang GB. Performance of a new clinical grading system for chronic graft-versus-host disease: a multicenter study. Blood. 2003 Aug 01; 102(3):802-9.
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