aceSeeing beyond the algorithm: artificial intelligence and the enduring role of the radiologist
Artificial intelligence (AI) has rapidly emerged as a transformative force in radiology, offering enhanced diagnostic accuracy, workflow optimization, and the potential to alleviate rising imaging demands. As radiology remains inherently dependent on pattern recognition and high-volume data interpretation, it represents an ideal domain for AI integration. This narrative review synthesizes current evidence on the clinical impact of AI across multiple dimensions of radiologic practice, including diagnostic perform…
AI integration in radiologic practice improves triage and reduces report turnaround times while achieving diagnostic performance approaching or exceeding radiologists in chest imaging and breast cancer screening
AI integration in radiologic practice may paradoxically increase workload and contribute to radiologist burnout when poorly implemented, with automation bias and over-reliance compromising clinical judgment
Evidence
- Peer-reviewedClinical Breast Cancer2026-02-25
- Peer-reviewedDiagnostics2024-04-19
- Peer-reviewedCancers2026-08-25
- Peer-reviewedInternational Journal of Research Publication and Reviews2024-10-01
- Peer-reviewedCurrent Problems in Diagnostic Radiology2026-06-24
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Truvace Impact Record TRV-2026-0311, v5: “Seeing beyond the algorithm: artificial intelligence and the enduring role of the radiologist.” Truvace, 2026-10-15. /record/TRV-2026-0311 (accessed at citation time). sha256 0cd7aa50ffc9461a…
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