Radiologist burnout: AI’s true black box
The University of Texas MD Anderson Cancer Center · American College of Radiology
Abstract
Multiple articles have touted the longitudinal promise of artificial intelligence (AI) in radiology, including projections of streamlining repetitive tasks, improving workflow, and reducing physician burnout. The purpose of this article is to review publications directly assessing the impact of AI on radiologist burnout and the impact of AI on the established drivers of radiologist burnout. Our analysis found conflicting, inconclusive limited data that AI reduces radiologist burnout, and the balance of data does not support that AI improves the drivers of burnout. How AI affects radiologist burnout remains a "black box", with the final impact yet to be determined. KEY POINTS: Question While AI has been touted…
Citation impact
- FWCI
- 58.78
- Percentile
- 100%
- References
- 63
Authors
2Topics & keywords
- Interventional radiology
- Neuroradiology
- Burnout
- Relevance (law)
- Balance (ability)