Publications by authors named "Naveen P Baskaran"
Article Synopsis
- The study investigates the effectiveness of large language models (LLMs) in incorporating patient values during critical medical decision-making for patients who can't make decisions due to incapacitation.
- Researchers simulated scenarios for 50 patients needing urgent medical decisions and assessed how well LLMs could extract treatment options and provide recommendations based on the patients' values.
- Results showed that LLMs accurately extracted treatment information 88% of the time and received good scores for their recommendations in terms of medical plausibility and alignment with patient values, especially when values were expressed in free-text narratives.
E-cigarette or vaping, product associated lung injury is a rampant public health issue with a total of 2807 reported hospitalized patients in the United States as of February 18, 2020. Limited data, non-specific symptoms, non-responsiveness to antibiotics, and the lack of a specific biomarker, make it a diagnosis of exclusion. Overlap of clinical and imaging findings with other ongoing respiratory illness (MERS, SARS and COVID-19) poses a challenge in accurate diagnosis.
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