The lucent yet opaque challenge of regulating artificial intelligence in radiology
NPJ Digit Med
.
2024 Mar 15;7(1):69.
doi: 10.1038/s41746-024-01071-2.
Authors
James M Hillis
#
1
2
3
,
Jacob J Visser
#
4
,
Edward R Scheffer Cliff
5
6
,
Kelly van der Geest-Aspers
7
,
Bernardo C Bizzo
8
5
9
,
Keith J Dreyer
8
5
9
,
Jeremias Adams-Prassl
10
,
Katherine P Andriole
8
5
11
Affiliations
1
Data Science Office, Mass General Brigham, Boston, MA, USA. james.hillis@mgh.harvard.edu.
2
Department of Neurology, Massachusetts General Hospital, Boston, MA, USA. james.hillis@mgh.harvard.edu.
3
Harvard Medical School, Boston, MA, USA. james.hillis@mgh.harvard.edu.
4
Department of Radiology & Nuclear Medicine, Erasmus Medical Center, Rotterdam, The Netherlands.
5
Harvard Medical School, Boston, MA, USA.
6
Program on Regulation, Therapeutics and Law, Brigham and Women's Hospital, Boston, MA, USA.
7
Department of Medical Technology, Erasmus Medical Center, Rotterdam, The Netherlands.
8
Data Science Office, Mass General Brigham, Boston, MA, USA.
9
Department of Radiology, Massachusetts General Hospital, Boston, MA, USA.
10
Faculty of Law, University of Oxford, Oxford, UK.
11
Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA.
#
Contributed equally.
PMID:
38491126
PMCID:
PMC10942968
DOI:
10.1038/s41746-024-01071-2
No abstract available