Colorado Permanente Medical Group

Ambient Artificial Intelligence Scribes to Alleviate the Burden of Clinical Documentation

Aaron A. Tierney, Gregg S. Gayre, Brian Hoberman et al.

2024 · 327 Zit.

Quality Assurance during the Rapid Implementation of an AI-Assisted Clinical Documentation Support Tool

Carol Cain, A. Davis, Benjamin Broder et al.

2025 · 14 Zit.

The future of AI in critical care is augmented, not artificial, intelligence

Vincent X. Liu

2020 · 12 Zit.

Assessing the quality of AI-generated clinical notes: validated evaluation of a large language model ambient scribe

Emil Palm, Astrit Manikantan, Herprit Mahal et al.

2025 · 10 Zit.

Algorithmic prognostication in critical care: a promising but unproven technology for supporting difficult decisions

Gary E. Weissman, Vincent X. Liu

2021 · 6 Zit.

Evidence-Based Workflows for Thyroid and Parathyroid Surgery

Charles Meltzer, Amer Budayr, Annette Chavez et al.

2016 · 3 Zit.

An Assessment of the Performance of Different Chatbots on Shoulder and Elbow Questions

Mohamad Y. Fares, T. L. Parmar, Peter Boufadel et al.

2025 · 2 Zit.

Applying Machine Learning to Increase Efficiency and Accuracy of Meta-Analytic Review

Aaron J. Gorelik, Mark G. Gorelik, Kathryn K. Ridout et al.

2020 · 1 Zit.

Large language models accurately extract aortic information from abdominal imaging reports in a large, real-world database

Colleen P. Flanagan, Lawrence D. Gerstley, Steven Okuhn et al.

2025 · 0 Zit.

Knowledge, preferences, and potential barriers to additional testing among patients identified as increased risk of pancreatic cancer through machine-learning algorithms: a cross-sectional survey study

Kush Kumar Yadav, Tiffany Q. Luong, Eva Lustigova et al.

2026 · 0 Zit.