Literature DB >> 3276267

Artificial intelligence in medical diagnosis.

P Szolovits1, R S Patil, W B Schwartz.   

Abstract

In an attempt to overcome limitations inherent in conventional computer-aided diagnosis, investigators have created programs that simulate expert human reasoning. Hopes that such a strategy would lead to clinically useful programs have not been fulfilled, but many of the problems impeding creation of effective artificial intelligence programs have been solved. Strategies have been developed to limit the number of hypotheses that a program must consider and to incorporate pathophysiologic reasoning. The latter innovation permits a program to analyze cases in which one disorder influences the presentation of another. Prototypes embodying such reasoning can explain their conclusions in medical terms that can be reviewed by the user. Despite these advances, further major research and developmental efforts will be necessary before expert performance by the computer becomes a reality.

Entities:  

Mesh:

Year:  1988        PMID: 3276267     DOI: 10.7326/0003-4819-108-1-80

Source DB:  PubMed          Journal:  Ann Intern Med        ISSN: 0003-4819            Impact factor:   25.391


  23 in total

Review 1.  Primary prevention of sudden cardiac death of the young athlete: the controversy about the screening electrocardiogram and its innovative artificial intelligence solution.

Authors:  Anthony C Chang
Journal:  Pediatr Cardiol       Date:  2012-02-12       Impact factor: 1.655

Review 2.  Modeling paradigms for medical diagnostic decision support: a survey and future directions.

Authors:  Kavishwar B Wagholikar; Vijayraghavan Sundararajan; Ashok W Deshpande
Journal:  J Med Syst       Date:  2011-10-01       Impact factor: 4.460

3.  Knowledge-based computer system to aid in the histopathological diagnosis of breast disease.

Authors:  H Heathfield; D Bose; N Kirkham
Journal:  J Clin Pathol       Date:  1991-06       Impact factor: 3.411

4.  Neural networks aided stone detection in thick slab MRCP images.

Authors:  Rajasvaran Logeswaran
Journal:  Med Biol Eng Comput       Date:  2006-07-25       Impact factor: 2.602

5.  Diagnosis, Information Management, Teaching, and Record Coding Using the CONSULTANT Database.

Authors:  M E White
Journal:  Can Vet J       Date:  1988-03       Impact factor: 1.008

Review 6.  Recent developments in computer-assisted diagnosis of putative adverse drug reactions.

Authors:  C A Naranjo; K L Lanctôt
Journal:  Drug Saf       Date:  1991 Sep-Oct       Impact factor: 5.606

Review 7.  Artificial Intelligence in Cardiovascular Imaging: JACC State-of-the-Art Review.

Authors:  Damini Dey; Piotr J Slomka; Paul Leeson; Dorin Comaniciu; Sirish Shrestha; Partho P Sengupta; Thomas H Marwick
Journal:  J Am Coll Cardiol       Date:  2019-03-26       Impact factor: 24.094

8.  An integrated iterative annotation technique for easing neural network training in medical image analysis.

Authors:  Brendon Lutnick; Brandon Ginley; Darshana Govind; Sean D McGarry; Peter S LaViolette; Rabi Yacoub; Sanjay Jain; John E Tomaszewski; Kuang-Yu Jen; Pinaki Sarder
Journal:  Nat Mach Intell       Date:  2019-02-11

9.  Artificial intelligence in medical imaging: A radiomic guide to precision phenotyping of cardiovascular disease.

Authors:  Evangelos K Oikonomou; Musib Siddique; Charalambos Antoniades
Journal:  Cardiovasc Res       Date:  2020-11-01       Impact factor: 10.787

10.  Supporting Emergency Medical Care Teams with an Integrated Status Display Providing Real-Time Access to Medical Best Practices, Workflow Tracking, and Patient Data.

Authors:  PoLiang Wu; Min-Young Nam; Jeonghwan Choi; Alex Kirlik; Lui Sha; Richard B Berlin
Journal:  J Med Syst       Date:  2017-10-17       Impact factor: 4.460

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