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Hillis JM, Visser JJ, Cliff ERS, van der Geest-Aspers K, Bizzo BC, Dreyer KJ, Adams-Prassl J, Andriole KP. The lucent yet opaque challenge of regulating artificial intelligence in radiology. NPJ Digit Med 2024; 7:69. [PMID: 38491126 PMCID: PMC10942968 DOI: 10.1038/s41746-024-01071-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2023] [Accepted: 03/07/2024] [Indexed: 03/18/2024] Open
Affiliation(s)
- James M Hillis
- Data Science Office, Mass General Brigham, Boston, MA, USA.
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA.
- Harvard Medical School, Boston, MA, USA.
| | - Jacob J Visser
- Department of Radiology & Nuclear Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Edward R Scheffer Cliff
- Harvard Medical School, Boston, MA, USA
- Program on Regulation, Therapeutics and Law, Brigham and Women's Hospital, Boston, MA, USA
| | | | - Bernardo C Bizzo
- Data Science Office, Mass General Brigham, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Keith J Dreyer
- Data Science Office, Mass General Brigham, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | | | - Katherine P Andriole
- Data Science Office, Mass General Brigham, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA
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