Payments to Health Care Professionals and Teaching Hospitals by AI- and Machine Learning–Enabled Medical Device Manufacturers
This study examines the extent and nature of payments made to health care professionals and teaching hospitals by manufacturers of FDA-authorized AI- and machine learning–enabled devices.
Authors
- Deborah Marshall (ORCID: https://orcid.org/0000-0002-6675-7482)
- Allan S. Detsky (ORCID: https://orcid.org/0000-0003-2772-3121)
- Girish S. Kulkarni (ORCID: https://orcid.org/0000-0002-6929-6124)
- Genevieve P. Kanter (ORCID: https://orcid.org/0000-0002-3044-7829)
- Joseph S. Ross (ORCID: https://orcid.org/0000-0002-9218-3320)
- Anju Murayama (ORCID: https://orcid.org/0000-0002-4279-4748)
- Laura C. Rosella (ORCID: https://orcid.org/0000-0003-4867-869X)
- Linda Holbrook Freeman
- Tiange Li (ORCID: https://orcid.org/0000-0001-9420-4933)
- Christopher J. D. Wallis (ORCID: https://orcid.org/0000-0002-5990-4026)
- David‐Dan Nguyen (ORCID: https://orcid.org/0000-0001-5570-8792)
- Joshua S. Cheruvathur
Institutions
- University of Southern California (US)
- Mount Sinai Hospital (CA)
- Yale New Haven Hospital (US)
- University of Toronto (CA)
- Tohoku University (JP)
- Yale University (US)
- Ashikaga Red Cross Hospital (JP)
- Obihiro Kosei General Hospital (JP)
- Public Health Ontario (CA)
- Schwartz/Reisman Emergency Medicine Institute (CA)
- Icahn School of Medicine at Mount Sinai (US)
Publication Details
- Journal
- JAMA
- Published
- 2025-09-22
- DOI
- https://doi.org/10.1001/jama.2025.14813
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.65