The End of Radiology? Three Threats to the Future Practice of Radiology
Abstract
Radiology faces at least three major, potentially fatal, threats. First, as care moves out of the hospital, there will be a decrease in demand for imaging. More care in patients' homes and in other nonhospital settings means fewer medical tests, including imaging. Second, payment reform and, in particular, bundled payments and capitation mean that imaging will become a cost rather than a profit center. These shifts in provider payment will decrease the demand for imaging and disrupt the practice of radiology. Potentially, the ultimate threat to radiology is machine learning. Machine learning will become a powerful force in radiology in the next 5 to 10 years and could end radiology as a thriving specialty.
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While the possibility of AI replacing radiologists was extensively mentioned in recent radiology publications, none of the interviewees in this research identified with this threat.
“While the possibility of AI replacing radiologists, and thereby threatening their professional identity, was extensively mentioned in many recent radiology publications [5, 9, 16, 44], none of the interviewees in this research identified with this threat.”
From Implementation of artificial intelligence (AI) applications in radiology: hindering and facilitating factors (2020) · cites this paper as [9]
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References 15 · Cited by 139
- Authors
- Chockley, K., & Emanuel, E.
- Affiliations
- University of Pennsylvania (US)
- Corresponding author
- Chockley, Katie
- ORCID
- Emanuel, Ezekiel
- Venue
- Journal of the American College of Radiology
- Publisher
- Elsevier BV
- Published
- 2016-12
- Volume
- 13
- Issue
- 12
- Pages
- 1415-1420
- ISSN
- 1546-1440 (ISSN-L)
- OpenAlex
- W2520541801
- Cited by
- 139
- References
- 15
- Citations by year
- 2026: 2 · 2025: 10 · 2024: 13 · 2023: 21 · 2022: 15 · 2021: 18 · 2020: 14 · 2019: 15 · 2018: 19 · 2017: 12
- FWCI
- 13.33
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of the American College of Radiology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiology practices and education
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Healthcare Policy and Management
- Health Sciences › Health Professions › General Health Professions › Healthcare cost, quality, practices
- Keywords
- future of radiology, outpatient care, payment reform, bundled payment, capitation, imaging costs
- MeSH terms
- Radiologists, Diagnostic Imaging, Forecasting, Health Services Accessibility, Patient Acceptance of Health Care, Reimbursement Mechanisms, United States, Health Care Costs, Health Care Reform
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