Artificial Intelligence and Radiology: Have Rumors of the Radiologist's Demise Been Greatly Exaggerated?
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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 [44]
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- Authors
- Nawrocki, T., Maldjian, P. D., Slasky, S. E., & Contractor, S. G.
- Affiliations
- Rutgers New Jersey Medical School (US)
- Corresponding author
- Nawrocki, Tomer
- Venue
- Academic Radiology
- Publisher
- Elsevier BV
- Published
- 2018-08
- Volume
- 25
- Issue
- 8
- Pages
- 967-972
- ISSN
- 1076-6332 (ISSN-L)
- OpenAlex
- W2791125561
- Cited by
- 23
- References
- 30
- Citations by year
- 2024: 3 · 2023: 3 · 2022: 4 · 2021: 7 · 2020: 3 · 2019: 2 · 2018: 1
- FWCI
- 0.88
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Academic Radiology (publishedVersion)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiomics and Machine Learning in Medical Imaging
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiology practices and education
- Keywords
- artificial intelligence in radiology, machine learning, deep learning, image recognition, digital imaging, future of radiology, radiologist role, AI adoption in medicine
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