 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
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| MeSH Number(s) |
E01.158 L01.700.508.100.158
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| Concept/Terms |
Diagnosis, Computer-Assisted- Diagnosis, Computer-Assisted
- Diagnosis, Computer Assisted
- Computer-Assisted Diagnosis
- Computer Assisted Diagnosis
- Computer-Assisted Diagnoses
- Diagnoses, Computer-Assisted
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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 |
|---|
| 1985 | 1 | 0 | 1 | | 1988 | 1 | 0 | 1 | | 1989 | 1 | 0 | 1 | | 1990 | 1 | 1 | 2 | | 1991 | 3 | 0 | 3 | | 1992 | 3 | 0 | 3 | | 1993 | 2 | 2 | 4 | | 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 | 8 | 2 | 10 | | 2005 | 7 | 0 | 7 | | 2006 | 9 | 3 | 12 | | 2007 | 14 | 4 | 18 | | 2008 | 9 | 4 | 13 | | 2009 | 7 | 0 | 7 | | 2010 | 3 | 0 | 3 | | 2011 | 4 | 1 | 5 | | 2012 | 7 | 1 | 8 | | 2013 | 8 | 1 | 9 | | 2014 | 4 | 0 | 4 | | 2015 | 4 | 2 | 6 | | 2016 | 3 | 0 | 3 | | 2017 | 4 | 1 | 5 | | 2018 | 2 | 2 | 4 | | 2019 | 5 | 2 | 7 | | 2020 | 2 | 0 | 2 | | 2021 | 4 | 1 | 5 |
To return to the timeline, click here.
Below are the most recent publications written about "Diagnosis, Computer-Assisted" by people in Profiles.
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Glissen Brown JR, Mansour NM, Wang P, Chuchuca MA, Minchenberg SB, Chandnani M, Liu L, Gross SA, Sengupta N, Berzin TM. 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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King CA, Brent D, Grupp-Phelan J, Casper TC, Dean JM, Chernick LS, Fein JA, Mahabee-Gittens EM, Patel SJ, Mistry RD, Duffy S, Melzer-Lange M, Rogers A, Cohen DM, Keller A, Shenoi R, Hickey RW, Rea M, Cwik M, Page K, McGuire TC, Wang J, Gibbons R. 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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Guinart D, de Filippis R, Rosson S, Patil B, Prizgint L, Talasazan N, Meltzer H, Kane JM, Gibbons RD. 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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Mustanski B, Whitton SW, Newcomb ME, Clifford A, Ryan DT, Gibbons RD. 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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Yamashita R, Long J, Longacre T, Peng L, Berry G, Martin B, Higgins J, Rubin DL, Shen J. Deep learning model for the prediction of microsatellite instability in colorectal cancer: a diagnostic study. Lancet Oncol. 2021 01; 22(1):132-141.
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Hu Q, Whitney HM, Giger ML. A deep learning methodology for improved breast cancer diagnosis using multiparametric MRI. Sci Rep. 2020 06 29; 10(1):10536.
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Gibbons RD, Alegria M, Markle S, Fuentes L, Zhang L, Carmona R, Collazos F, Wang Y, Baca-García E. Development of a computerized adaptive substance use disorder scale for screening and measurement: the CAT-SUD. Addiction. 2020 07; 115(7):1382-1394.
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Li LP, Milani B, Pruijm M, Kohn O, Sprague S, Hack B, Prasad P. Renal BOLD MRI in patients with chronic kidney disease: comparison of the semi-automated twelve layer concentric objects (TLCO) and manual ROI methods. MAGMA. 2020 Feb; 33(1):113-120.
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Ginestra JC, Giannini HM, Schweickert WD, Meadows L, Lynch MJ, Pavan K, Chivers CJ, Draugelis M, Donnelly PJ, Fuchs BD, Umscheid CA. Clinician Perception of a Machine Learning-Based Early Warning System Designed to Predict Severe Sepsis and Septic Shock. Crit Care Med. 2019 11; 47(11):1477-1484.
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Giannini HM, Ginestra JC, Chivers C, Draugelis M, Hanish A, Schweickert WD, Fuchs BD, Meadows L, Lynch M, Donnelly PJ, Pavan K, Fishman NO, Hanson CW, Umscheid CA. A Machine Learning Algorithm to Predict Severe Sepsis and Septic Shock: Development, Implementation, and Impact on Clinical Practice. Crit Care Med. 2019 11; 47(11):1485-1492.
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