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TRV-2026-0311Certified recordPeer-reviewed

Seeing 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…

Health · The Trace — both readings · certified 2026-07-20 · v1 · article view · machine-readable

Current reading — gain

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

Current reading — problem

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

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Truvace Impact Record TRV-2026-0311, v1: “Seeing beyond the algorithm: artificial intelligence and the enduring role of the radiologist.” Truvace, 2026-07-20. /record/TRV-2026-0311 (accessed at citation time). sha256 9b4aae9a0fddb6d0…

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