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High Use, Low Preparation: A Needs Assessment to Inform Curriculum Development for AI in Residency and Fellowship Training
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- TRV-2026-2434raw data (JSON)
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Generative artificial intelligence (Gen-AI) has rapidly entered clinical environments, posing a risk of "cognitive offloading" that may impede the development of independent clinical judgment. This study conducted a cross-sectional survey of residents, fellows, and faculty at a large academic medical center in January 2026 to quantify Gen-AI utilization and perceptions in physical medicine and rehabilitation (PM&R) to inform curriculum development. Thirty-six trainees (95% response rate) and 11 faculty members (…
The problem
Generative artificial intelligence (Gen-AI) has rapidly entered clinical environments, posing a risk of "cognitive offloading" that may impede the development of independent clinical judgment.
Sources
1 on file- American Journal of Physical Medicine & Rehabilitationdoi:10.1097/phm.0000000000003198
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v1Truvace Impact Record TRV-2026-2434, v1: “High Use, Low Preparation: A Needs Assessment to Inform Curriculum Development for AI in Residency and Fellowship Training.” Truvace, 2026-11-09. /record/TRV-2026-2434 (accessed on the day you copy it). sha256 a81241f073d8be2b…
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