 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, problem solving, etc.
| 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
- Computer Reasoning
- Reasoning, Computer
- Machine Intelligence
- Intelligence, Machine
- AI (Artificial Intelligence)
- AIs (Artificial Intelligence)
Knowledge Representation (Computer)- Knowledge Representation (Computer)
- Knowledge Representations (Computer)
- Representation, Knowledge (Computer)
- Representations, Knowledge (Computer)
Computer Vision Systems- Computer Vision Systems
- Computer Vision System
- System, Computer Vision
- Systems, Computer Vision
- Vision System, Computer
- Vision Systems, Computer
Knowledge Acquisition (Computer)- Knowledge Acquisition (Computer)
- Acquisition, Knowledge (Computer)
- Acquisitions, Knowledge (Computer)
- Knowledge Acquisitions (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 |
|---|
| 1987 | 1 | 0 | 1 | | 1994 | 4 | 0 | 4 | | 1995 | 0 | 1 | 1 | | 1996 | 0 | 1 | 1 | | 1998 | 1 | 0 | 1 | | 2000 | 1 | 2 | 3 | | 2001 | 1 | 1 | 2 | | 2002 | 5 | 2 | 7 | | 2003 | 1 | 3 | 4 | | 2004 | 4 | 5 | 9 | | 2005 | 8 | 6 | 14 | | 2006 | 6 | 4 | 10 | | 2007 | 3 | 3 | 6 | | 2008 | 3 | 7 | 10 | | 2009 | 5 | 5 | 10 | | 2010 | 3 | 5 | 8 | | 2011 | 3 | 1 | 4 | | 2012 | 1 | 2 | 3 | | 2013 | 3 | 1 | 4 | | 2014 | 1 | 3 | 4 | | 2018 | 1 | 0 | 1 | | 2019 | 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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Low SK, Nakamura Y. The road map of cancer precision medicine with the innovation of advanced cancer detection technology and personalized immunotherapy. Jpn J Clin Oncol. 2019 Jul 01; 49(7):596-603.
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Khomtchouk BB, Weitz E, Karp PD, Wahlestedt C. How the strengths of Lisp-family languages facilitate building complex and flexible bioinformatics applications. Brief Bioinform. 2018 05 01; 19(3):537-543.
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Sotaquira M, Pepi M, Fusini L, Maffessanti F, Lang RM, Caiani EG. Semi-automated segmentation and quantification of mitral annulus and leaflets from transesophageal 3-D echocardiographic images. Ultrasound Med Biol. 2015 Jan; 41(1):251-67.
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Nishikawa RM, Gur D. CADe for early detection of breast cancer-current status and why we need to continue to explore new approaches. Acad Radiol. 2014 Oct; 21(10):1320-1.
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Guo Y, Gao Y, Shao Y, Price T, Oto A, Shen D. Deformable segmentation of 3D MR prostate images via distributed discriminative dictionary and ensemble learning. Med Phys. 2014 Jul; 41(7):072303.
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Bedi G, Cecchi GA, Slezak DF, Carrillo F, Sigman M, de Wit H. A window into the intoxicated mind? Speech as an index of psychoactive drug effects. Neuropsychopharmacology. 2014 Sep; 39(10):2340-8.
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Dubno JR, Eckert MA, Lee FS, Matthews LJ, Schmiedt RA. Classifying human audiometric phenotypes of age-related hearing loss from animal models. J Assoc Res Otolaryngol. 2013 Oct; 14(5):687-701.
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Singh H, Ansari HR, Raghava GP. Improved method for linear B-cell epitope prediction using antigen's primary sequence. PLoS One. 2013; 8(5):e62216.
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Liao S, Gao Y, Oto A, Shen D. Representation learning: a unified deep learning framework for automatic prostate MR segmentation. Med Image Comput Comput Assist Interv. 2013; 16(Pt 2):254-61.
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Liao S, Gao Y, Shi Y, Yousuf A, Karademir I, Oto A, Shen D. Automatic prostate MR image segmentation with sparse label propagation and domain-specific manifold regularization. Inf Process Med Imaging. 2013; 23:511-23.
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