Efficiency and Quality of Generative AI–Assisted Radiograph Reporting
This study examined generative AI's impact on radiologists reporting for plain radiographs. Results showed a 15.5% boost in documentation efficiency with AI assistance, maintaining report quality and accuracy. The AI also effectively detected a significant pneumothorax. This indicates that AI-radiologist collaboration can improve clinical care.
Is clinical use of artificial intelligence (AI)–generated draft radiograph reports associated with documentation efficiency, clinical accuracy, textual quality, and the ability to promptly detect pneumothorax requiring intervention?
Diagnostic imaging interpretation involves distilling multimodal clinical information into text form, a task well-suited to augmentation by generative artificial intelligence (AI). However, to our knowledge, the impacts of AI-based draft radiological reporting remain unstudied in clinical settings.
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