Welcome to our deep dive into artificial intelligence and radiologist burnout. This comprehensive guide covers the essential aspects and latest developments within the field.
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IMPORTANCE Understanding the association of artificial intelligence (AI) with physician burnout is crucial for fostering a collaborative interactive environment between physicians and AI.
Nov 22, 2024 · This article highlights that the health care community has not yet learned how to effectively work with AI to harness the power of AI to reduce burnout. The nuances of HMI are still in …
In this cross-sectional study of radiologist burnout, frequent AI use was associated with an increased risk of radiologist burnout, particularly among those with high workload or lower AI acceptance.
Nov 1, 2024 · The use of AI was associated with burnout among radiologists, exhibiting a dose-response association, and this association was particularly pronounced in radiologists with high workload and …
Jan 16, 2026 · 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.
Feb 19, 2025 · Different artificial neural networks for predicting burnout risk in Italian anesthesiologists July 1, 2025 | Journal of Anesthesia, Analgesia and Critical Care, Vol. 5, No. 1
Mar 27, 2026 · This review aims to explore the emerging role of artificial intelligence in predicting radiologist burnout and cognitive fatigue through workflow analytics.
JAMA Network Open 2024 November 4 IMPORTANCE: Understanding the association of artificial intelligence (AI) with physician burnout is crucial for fostering a collaborative interactive environment …
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