Proceedings From the 2022 ACR-RSNA Workshop on Safety, Effectiveness, Reliability, and Transparency in AI
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Published:2024-07
Issue:7
Volume:21
Page:1119-1129
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ISSN:1546-1440
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Container-title:Journal of the American College of Radiology
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language:en
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Short-container-title:Journal of the American College of Radiology
Author:
Larson David B.ORCID,
Doo Florence X.ORCID,
Allen BibbORCID,
Mongan John,
Flanders Adam E.,
Wald Christoph
Reference21 articles.
1. Artificial intelligence and machine learning in radiology: opportunities, challenges, pitfalls, and criteria for success;Thrall;J Am Coll Radiol,2018
2. Evaluation and real-world performance monitoring of artificial intelligence models in clinical practice: try it, buy it, check it;Allen;J Am Coll Radiol,2021
3. Regulatory frameworks for development and evaluation of artificial intelligence–based diagnostic imaging algorithms: summary and recommendations;Larson;J Am Coll Radiol,2021
4. Data sharing of imaging in an evolving health care world: report of the ACR Data Sharing Workgroup, part 2: annotation, curation, and contracting;Batlle;J Am Coll Radiol,2021
5. Ethics of artificial intelligence in radiology: summary of the Joint European and North American Multisociety Statement;Geis;J Am Coll Radiol,2019
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