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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2005 | 1 | 2 | 3 | 2006 | 3 | 1 | 4 | 2007 | 1 | 1 | 2 | 2008 | 1 | 0 | 1 | 2010 | 0 | 1 | 1 | 2013 | 3 | 0 | 3 | 2014 | 0 | 1 | 1 | 2018 | 1 | 0 | 1 |
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Below are the most recent publications written about "Artificial Intelligence" by people in Profiles.
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Balthazar P, Harri P, Prater A, Safdar NM. Protecting Your Patients' Interests in the Era of Big Data, Artificial Intelligence, and Predictive Analytics. J Am Coll Radiol. 2018 03; 15(3 Pt B):580-586.
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Liu J, Wang S, Linguraru MG, Yao J, Summers RM. Computer-aided detection of exophytic renal lesions on non-contrast CT images. Med Image Anal. 2015 Jan; 19(1):15-29.
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Kang X, Safdar N, Myers E, Martin AD, Grisan E, Peters CA, Linguraru MG. Automatic analysis of pediatric renal ultrasound using shape, anatomical and image acquisition priors. Med Image Comput Comput Assist Interv. 2013; 16(Pt 3):259-66.
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Okada T, Linguraru MG, Hori M, Summers RM, Tomiyama N, Sato Y. Abdominal multi-organ CT segmentation using organ correlation graph and prediction-based shape and location priors. Med Image Comput Comput Assist Interv. 2013; 16(Pt 3):275-82.
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Liu J, Wang S, Linguraru MG, Yao J, Summers RM. A variational framework for joint detection and segmentation of ovarian cancer metastases. Med Image Comput Comput Assist Interv. 2013; 16(Pt 2):83-90.
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Linguraru MG, Sandberg JK, Li Z, Shah F, Summers RM. Automated segmentation and quantification of liver and spleen from CT images using normalized probabilistic atlases and enhancement estimation. Med Phys. 2010 Feb; 37(2):771-83.
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Linguraru MG, Orandi BJ, Van Uitert RL, Mukherjee N, Summers RM, Gladwin MT, Machado RF, Wood BJ. CT and image processing non-invasive indicators of sickle cell secondary pulmonary hypertension. Conf Proc IEEE Eng Med Biol Soc. 2008; 2008:859-62.
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Linguraru MG, Kabla A, Marx GR, del Nido PJ, Howe RD. Real-time tracking and shape analysis of atrial septal defects in 3D echocardiography. Acad Radiol. 2007 Nov; 14(11):1298-309.
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Krieger A, Csoma C, Iordachital II, Guion P, Singh AK, Fichtinger G, Whitcomb LL. Design and preliminary accuracy studies of an MRI-guided transrectal prostate intervention system. Med Image Comput Comput Assist Interv. 2007; 10(Pt 2):59-67.
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Linguraru MG, Ayache N, Bardinet E, Ballester MA, Galanaud D, Haïk S, Faucheux B, Hauw JJ, Cozzone P, Dormont D, Brandel JP. Differentiation of sCJD and vCJD forms by automated analysis of basal ganglia intensity distribution in multisequence MRI of the brain--definition and evaluation of new MRI-based ratios. IEEE Trans Med Imaging. 2006 Aug; 25(8):1052-67.
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