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.
MeSH Number(s)
E01.158
L01.700.508.100.158
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 Harvard Catalyst Profiles by year, and whether "Diagnosis, Computer-Assisted" was a major or minor topic of these publication.
To see the data from this visualization as text,
click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 1993 | 3 | 1 | 4 |
| 1994 | 3 | 0 | 3 |
| 1995 | 2 | 3 | 5 |
| 1996 | 6 | 2 | 8 |
| 1997 | 2 | 0 | 2 |
| 1998 | 5 | 1 | 6 |
| 1999 | 3 | 2 | 5 |
| 2000 | 1 | 4 | 5 |
| 2001 | 3 | 2 | 5 |
| 2002 | 5 | 5 | 10 |
| 2003 | 5 | 4 | 9 |
| 2004 | 12 | 6 | 18 |
| 2005 | 19 | 9 | 28 |
| 2006 | 19 | 8 | 27 |
| 2007 | 18 | 6 | 24 |
| 2008 | 24 | 7 | 31 |
| 2009 | 16 | 7 | 23 |
| 2010 | 17 | 9 | 26 |
| 2011 | 20 | 12 | 32 |
| 2012 | 14 | 10 | 24 |
| 2013 | 17 | 7 | 24 |
| 2014 | 9 | 4 | 13 |
| 2015 | 10 | 5 | 15 |
| 2016 | 14 | 5 | 19 |
| 2017 | 8 | 4 | 12 |
| 2018 | 14 | 7 | 21 |
| 2019 | 16 | 6 | 22 |
| 2020 | 17 | 3 | 20 |
| 2021 | 7 | 4 | 11 |
| 2022 | 1 | 0 | 1 |
| 2023 | 1 | 0 | 1 |
Below are the most recent publications written about "Diagnosis, Computer-Assisted" by people in Profiles.
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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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Radiologists with and without deep learning-based computer-aided diagnosis: comparison of performance and interobserver agreement for characterizing and diagnosing pulmonary nodules/masses. Eur Radiol. 2023 Jan; 33(1):348-359.
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Automatized FACEmemory® scoring is related to Alzheimer's disease phenotype and biomarkers in early-onset mild cognitive impairment: the BIOFACE cohort. Alzheimers Res Ther. 2022 03 18; 14(1):43.
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An inverse method for mechanical characterization of heterogeneous diseased arteries using intravascular imaging. Sci Rep. 2021 11 18; 11(1):22540.
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Accurate classification of plasma cell dyscrasias is achieved by combining artificial intelligence and flow cytometry. Br J Haematol. 2022 03; 196(5):1175-1183.
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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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Adoption of New Technologies: Artificial Intelligence. Gastrointest Endosc Clin N Am. 2021 Oct; 31(4):743-758.
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Synthetic data in machine learning for medicine and healthcare. Nat Biomed Eng. 2021 06; 5(6):493-497.
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Explaining deep neural networks for knowledge discovery in electrocardiogram analysis. Sci Rep. 2021 05 26; 11(1):10949.
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Commentary: the ethical challenges of machine learning in psychiatry: a focus on data, diagnosis, and treatment. Psychol Med. 2021 11; 51(15):2522-2524.