Diagnosis, Computer-Assisted
"Diagnosis, Computer-Assisted" 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.
Application of computer programs designed to assist the physician in solving a diagnostic problem.
Descriptor ID |
D003936
|
MeSH Number(s) |
E01.158 L01.313.500.750.100.158
|
Concept/Terms |
Diagnosis, Computer-Assisted- Diagnosis, Computer-Assisted
- Diagnosis, Computer Assisted
- Computer-Assisted Diagnosis
- Computer Assisted Diagnosis
- Computer-Assisted Diagnoses
- Diagnoses, Computer-Assisted
|
Below are MeSH descriptors whose meaning is more general than "Diagnosis, Computer-Assisted".
Below are MeSH descriptors whose meaning is more specific than "Diagnosis, Computer-Assisted".
This graph shows the total number of publications written about "Diagnosis, Computer-Assisted" by people in this website by year, and whether "Diagnosis, Computer-Assisted" 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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1998 | 1 | 0 | 1 |
1999 | 1 | 0 | 1 |
2000 | 0 | 1 | 1 |
2001 | 2 | 0 | 2 |
2003 | 3 | 1 | 4 |
2004 | 0 | 1 | 1 |
2005 | 0 | 2 | 2 |
2006 | 2 | 1 | 3 |
2007 | 3 | 1 | 4 |
2008 | 2 | 1 | 3 |
2009 | 2 | 0 | 2 |
2011 | 1 | 1 | 2 |
2012 | 2 | 0 | 2 |
2013 | 0 | 1 | 1 |
2014 | 1 | 0 | 1 |
2015 | 3 | 1 | 4 |
2016 | 2 | 0 | 2 |
2017 | 1 | 1 | 2 |
2018 | 3 | 1 | 4 |
2019 | 2 | 0 | 2 |
2020 | 1 | 1 | 2 |
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Below are the most recent publications written about "Diagnosis, Computer-Assisted" by people in Profiles.
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Artificial Intelligence in Coronary Computed Tomography Angiography: From Anatomy to Prognosis. Biomed Res Int. 2020; 2020:6649410.
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Artificial Intelligence in the Management of Intracranial Aneurysms: Current Status and Future Perspectives. AJNR Am J Neuroradiol. 2020 03; 41(3):373-379.
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Evaluation of a Deep Learning-Based Automated CT Coronary Artery Calcium Scoring Algorithm. JACC Cardiovasc Imaging. 2020 02; 13(2 Pt 1):524-526.
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Influence of Coronary Calcium on Diagnostic Performance of Machine Learning CT-FFR: Results From MACHINE Registry. JACC Cardiovasc Imaging. 2020 03; 13(3):760-770.
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Coronary CT angiography-derived plaque quantification with artificial intelligence CT fractional flow reserve for the identification of lesion-specific ischemia. Eur Radiol. 2019 May; 29(5):2378-2387.
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Interictal Epileptiform Discharge Detection in EEG in Different Practice Settings. J Clin Neurophysiol. 2018 Sep; 35(5):375-380.
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Deep learning beyond cats and dogs: recent advances in diagnosing breast cancer with deep neural networks. Br J Radiol. 2018 Sep; 91(1089):20170545.
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EEG-based neglect assessment: A feasibility study. J Neurosci Methods. 2018 06 01; 303:169-177.
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Results of the 2016 International Skin Imaging Collaboration International Symposium on Biomedical Imaging challenge: Comparison of the accuracy of computer algorithms to dermatologists for the diagnosis of melanoma from dermoscopic images. J Am Acad Dermatol. 2018 02; 78(2):270-277.e1.
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Will we all be replaced by machines? J Eur Acad Dermatol Venereol. 2017 Jul; 31(7):1085-1086.