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 |
|---|
| 1994 | 3 | 2 | 5 |
| 1995 | 6 | 3 | 9 |
| 1996 | 3 | 0 | 3 |
| 1997 | 2 | 2 | 4 |
| 1998 | 4 | 2 | 6 |
| 1999 | 5 | 4 | 9 |
| 2000 | 2 | 0 | 2 |
| 2001 | 4 | 3 | 7 |
| 2002 | 6 | 2 | 8 |
| 2003 | 6 | 2 | 8 |
| 2004 | 7 | 2 | 9 |
| 2005 | 7 | 0 | 7 |
| 2006 | 9 | 3 | 12 |
| 2007 | 13 | 4 | 17 |
| 2008 | 9 | 4 | 13 |
| 2009 | 7 | 0 | 7 |
| 2010 | 3 | 1 | 4 |
| 2011 | 5 | 1 | 6 |
| 2012 | 6 | 1 | 7 |
| 2013 | 7 | 1 | 8 |
| 2014 | 4 | 0 | 4 |
| 2015 | 4 | 2 | 6 |
| 2016 | 3 | 0 | 3 |
| 2017 | 4 | 1 | 5 |
| 2018 | 3 | 2 | 5 |
| 2019 | 4 | 2 | 6 |
| 2020 | 2 | 0 | 2 |
| 2021 | 4 | 1 | 5 |
| 2022 | 0 | 1 | 1 |
| 2023 | 1 | 2 | 3 |
| 2024 | 0 | 1 | 1 |
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Below are the most recent publications written about "Diagnosis, Computer-Assisted" by people in Profiles.
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Development of an individual display optimization system based on deep convolutional neural network transition learning for somatostatin receptor scintigraphy. Radiol Phys Technol. 2024 Mar; 17(1):195-206.
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Best Practices for Artificial Intelligence and Machine Learning for Computer-Aided Diagnosis in Medical Imaging. J Am Coll Radiol. 2024 Feb; 21(2):341-343.
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Computer-aided polyp detection (CADe) in real life: not the "CADe-llac" we were promised. Gastrointest Endosc. 2023 07; 98(1):110-112.
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AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer-aided diagnosis in medical imaging. Med Phys. 2023 Feb; 50(2):e1-e24.
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Developing breast lesion detection algorithms for digital breast tomosynthesis: Leveraging false positive findings. Med Phys. 2022 Dec; 49(12):7596-7608.
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Deep Learning Computer-aided Polyp Detection Reduces Adenoma Miss Rate: A United States Multi-center Randomized Tandem Colonoscopy Study (CADeT-CS Trial). Clin Gastroenterol Hepatol. 2022 07; 20(7):1499-1507.e4.
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Prospective Development and Validation of the Computerized Adaptive Screen for Suicidal Youth. JAMA Psychiatry. 2021 05 01; 78(5):540-549.
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Development and Validation of a Computerized Adaptive Assessment Tool for Discrimination and Measurement of Psychotic Symptoms. Schizophr Bull. 2021 04 29; 47(3):644-652.
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Predicting suicidality using a computer adaptive test: Two longitudinal studies of sexual and gender minority youth. J Consult Clin Psychol. 2021 Mar; 89(3):166-175.
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Deep learning model for the prediction of microsatellite instability in colorectal cancer: a diagnostic study. Lancet Oncol. 2021 01; 22(1):132-141.