Implementation of Clinical Artificial Intelligence in Radiology: Who Decides and How?
Published 2022 View Full Article
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Title
Implementation of Clinical Artificial Intelligence in Radiology: Who Decides and How?
Authors
Keywords
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Journal
RADIOLOGY
Volume -, Issue -, Pages -
Publisher
Radiological Society of North America (RSNA)
Online
2022-08-02
DOI
10.1148/radiol.212151
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Related references
Note: Only part of the references are listed.- Trustworthiness of Artificial Intelligence Models in Radiology and the Role of Explainability
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- An Open-Source, Vender Agnostic Hardware and Software Pipeline for Integration of Artificial Intelligence in Radiology Workflow
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- Developing specific reporting guidelines for diagnostic accuracy studies assessing AI interventions: The STARD-AI Steering Group
- (2020) Viknesh Sounderajah et al. NATURE MEDICINE
- Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI Extension
- (2020) Xiaoxuan Liu et al. BMJ-British Medical Journal
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- (2019) Gary S Collins et al. LANCET
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- (2019) Magdalena Ruth Moshi et al. INTERNATIONAL JOURNAL OF TECHNOLOGY ASSESSMENT IN HEALTH CARE
- Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement
- (2019) J. Raymond Geis et al. RADIOLOGY
- A Business Case for Artificial Intelligence Tools: The Currency of Improved Quality and Reduced Cost
- (2019) Lauren Parks Golding et al. Journal of the American College of Radiology
- Artificial Intelligence and Clinical Decision Support for Radiologists and Referring Providers
- (2019) Bernardo C. Bizzo et al. Journal of the American College of Radiology
- Artificial Intelligence in Radiology: A Call for Thoughtful Application
- (2019) C. Noelle Driver et al. CTS-Clinical and Translational Science
- How the FDA Regulates AI
- (2019) H. Benjamin Harvey et al. ACADEMIC RADIOLOGY
- Canadian Association of Radiologists White Paper on Artificial Intelligence in Radiology
- (2018) An Tang et al. CANADIAN ASSOCIATION OF RADIOLOGISTS JOURNAL-JOURNAL DE L ASSOCIATION CANADIENNE DES RADIOLOGISTES
- Methodologic Guide for Evaluating Clinical Performance and Effect of Artificial Intelligence Technology for Medical Diagnosis and Prediction
- (2018) Seong Ho Park et al. RADIOLOGY
- Adapting to Artificial Intelligence
- (2016) Saurabh Jha et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
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