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Opinion: Promises — and pitfalls — of ChatGPT-assisted medicine trib.al/OSjV8YS

"All models evaluated, particularly ChatGPT-3.5 and Bing, were accurate when simplifying radiology reports with a basic prompt." Our study in Radiology w/ Melissa Davis Andy Haims Yale Department of Radiology & Biomedical Imaging Yale School of Medicine pubs.rsna.org/doi/10.1148/ra…

Might be time to join academic twitter... 3 part series showcasing how new LLMs can change how patients interact with their radiology reports. (((Howard Forman))) Rushabh Doshi Melissa Davis doi.org/10.1148/radiol… doi.org/10.1101/2023.0… doi.org/10.59249/NKOY5…

In our recent publication w/ (((Howard Forman))) Rushabh Doshi (and thanks to Sachin H. Jain, MD, MBA) we look at if LLMs are patient centered. Currently, LLMs produce output that may be too difficult for the average patient to understand. sciencedirect.com/science/articl…

This study highlights the ability of LLMs to simplify radiology report impressions, which may enhance patient literacy and aid in patient-provider communication. @yaleradiology Yale School of Medicine bit.ly/4aaE9O7

Excited to share our AI work! Our paper on developing readability metrics to assess LLM outputs made Radiology Top 10 Most-Cited Papers of 2024: tinyurl.com/2yeyd66s tinyurl.com/ym3tzf23 (((Howard Forman))) Kanhai Amin Sophie Chheang Melissa Davis Pavan Khosla Simar Bajaj

Grateful to have worked on this important study on ACO participation and cardiovascular care quality led by @SpatzErica in JAMA Cardiology alongside Nihar Desai MD MPH, Thomas M. Maddox MD, and team!

A program run entirely by community members improved BMI, waist/hip size, and HbA1c, despite an unexpected rise in blood pressure. Findings warrant further investigations, especially of weight loss, in this era of weight loss medications. JGIM Journal of General Internal Medicine Annals of Int Med ACP