Article

Large Language Model–Assisted Radiology Reporting: A Retrospective Cohort Study Using the UTAUT Framework to Analyze Workflow Integration and Efficiency Gains

2026-02-22

Abstract excerpt

<title>Abstract</title> <p> <bold>Background</bold> Radiologist burnout affects approximately 40% of US radiologists. Large language models (LLMs) may improve workflow efficiency, but real-world implementation data are limited. <bold>Objective</bold> To evaluate LLM-assisted workflow impact on radiologist efficiency using the Unified Theory of Acceptance and Use of Technology (UTAUT) framework. <bold>Design,...

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Literature Corpus work: bafc1b25-7a7a-5fb1-883d-393c86ec0620
DOI: 10.21203/rs.3.rs-8904615/v1

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