Clinical applications of AI in MSK imaging: a liability perspective
Open accessAbstract
Artificial intelligence (AI) applications have been gaining traction across the radiology space, promising to redefine its workflow and delivery. However, they enter into an uncertain legal environment. This piece examines the nature, exposure, and theories of liability relevant to musculoskeletal radiologist practice. More specifically, it explores the negligence, vicarious liability, and product liability frameworks by way of illustrative vignettes.
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Courts and state legislatures have yet to articulate an AI-specific standard for informed consent.
“Courts and state legislatures have yet to articulate an AI-specific standard for informed consent.”
From Patient perspectives on informed consent for medical AI: A web-based experiment (2024) · cites this paper as [11]
Professional bodies have not offered a protocol for obtaining informed consent when using AI tools.
“Professional bodies have not offered a protocol for obtaining informed consent when using AI tools, which could potentially aid in developing an AI-specific standard of care.”
From Patient perspectives on informed consent for medical AI: A web-based experiment (2024) · cites this paper as [11]
The null result for commonness and superior performance is not consistent with some legal scholars' projections that as AI use becomes more widespread and performance surpasses human doctors, the need for further explanation should decrease.
“This result is not consistent with some legal scholars’ projections that as the use of AI becomes more widespread and its performance surpasses that of human doctors, the need for further explanation should decrease.11,12”
From Patient perspectives on informed consent for medical AI: A web-based experiment (2024) · cites this paper as [11]
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- Authors
- Harvey, H. B., & Gowda, V.
- Affiliations
- Harvard University (US)
- Corresponding author
- Gowda, Vrushab
- Venue
- Skeletal Radiology
- Published
- 2021-04-09
- Volume
- 51
- Issue
- 2
- Pages
- 235-238
- ISSN
- 0364-2348 (ISSN-L)
- 1432-2161
- OpenAlex
- W3140744160
- Cited by
- 28
- References
- 23
- Citations by year
- 2026: 6 · 2025: 6 · 2024: 7 · 2023: 3 · 2022: 2 · 2021: 4
- FWCI
- 6.25
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Skeletal Radiology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › Pharmacy › Medical Malpractice and Liability Issues
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Social Sciences › Law › Digitalization, Law, and Regulation
- Keywords
- artificial intelligence in radiology, musculoskeletal imaging, medical liability, negligence, vicarious liability, product liability
- MeSH terms
- Radiologists, Artificial Intelligence, Humans, Radiography, Radiology, Liability, Legal
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