Workflow Applications of Artificial Intelligence in Radiology and an Overview of Available Tools-Reference-Cited by-同舟云学术

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Workflow Applications of Artificial Intelligence in Radiology and an Overview of Available Tools

Published:2020-11 Issue:11 Volume:17 Page:1363-1370
ISSN:1546-1440
Container-title:Journal of the American College of Radiology
language:en
Short-container-title:Journal of the American College of Radiology

Author:

Kapoor Neena,Lacson Ronilda,Khorasani Ramin

Funder

Association of University Radiologists

Agency for Healthcare Research and Quality

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging

Reference63 articles.

1. Artificial intelligence: threat or boon to radiologists?;Recht;J Am Coll Radiol,2017

2. The end of radiology? Three threats to the future practice of radiology;Chockley;J Am Coll Radiol,2016

3. Artificial intelligence in radiology: current technology and future directions;Syed;Semin Musculoskelet Radiol,2018

4. Assessing information sources to elucidate diagnostic process errors in radiologic imaging—a human factors framework;Cochon;J Am Med Inform Assoc,2018

5. Strengths, weaknesses, opportunities, and threats analysis of artificial intelligence and machine learning applications in radiology;Martín Noguerol;J Am Coll Radiol,2019

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