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Full-Text Articles in Medicine and Health Sciences
Comparing Large Language Models Accuracy In Following Interval Surveillance Colonoscopy Guidelines, Olufemi Osikoya, Gregory Brennan
Comparing Large Language Models Accuracy In Following Interval Surveillance Colonoscopy Guidelines, Olufemi Osikoya, Gregory Brennan
North Texas Research Forum 2024
Introduction: Providing pathology results and appropriate recommendations after resection of colon polyps is mandatory. Large language models (LLMs) such as ChatGPT and Google Bard, have shown promise in clinical workflows such as pathology results letters. We tested whether LLMs could provide appropriate surveillance recommendations based on current guidelines from the US multi-society task force for post-colonoscopy follow-up. Methods: Our aim was to compare the accuracy of ChatGPT 3.5, ChatGPT 4, and Google Bard in providing appropriate interval surveillance recommendations. An example prompt being “Write a patient pathology result letter after a colonoscopy with one tubular adenoma polyp (< 10mm) resected. Include recommendations for when the next surveillance colonoscopy should be completed.” Seventeen different post polypectomy surveillance queries and responses were analyzed (correct, partially correct, incorrect) compared to USMSTF guidelines. Results: When …
Implementation Of Viz.Ai Augmented Intelligence Software To Reduce Door To Puncture Times And Patient Outcomes At A Comprehensive Stroke Center, Cody Bryant, Brandon Womack, Mason Patel, Sanjay Sharma
Implementation Of Viz.Ai Augmented Intelligence Software To Reduce Door To Puncture Times And Patient Outcomes At A Comprehensive Stroke Center, Cody Bryant, Brandon Womack, Mason Patel, Sanjay Sharma
North Texas Research Forum 2024
Introduction: Endovascular therapy (EVT) in the form of mechanical thrombectomy is the mainstay of treatment for acute large vessel occlusion (LVO) ischemic stroke, but its efficacy is highly time sensitive. It is crucial that stroke centers continue to implement process improvements that aim to streamline stroke workflow. Viz.AI is a platform that uses artificial intelligence to automatically detect LVOs with computed tomography (CT) imaging. It provides immediate access to the CT images as well as a platform for centralized communication through the mobile application. We sought to determine if the implementation of Viz.AI at our comprehensive stroke center improved stroke …
Artificial Intelligence Respoinse To Common Medication Concerns With Heart Failure Gdmt In Outpatient Setting, Dominique Pean, Laaraeb Nadeem, Suhas Kandimalla, Brotee Rahman
Artificial Intelligence Respoinse To Common Medication Concerns With Heart Failure Gdmt In Outpatient Setting, Dominique Pean, Laaraeb Nadeem, Suhas Kandimalla, Brotee Rahman
Gulf Coast Division Research Symposium 2024
No abstract provided.