Overall, 13 physicians, independent of the survey sample, participated in semistructured interviews, which were analyzed using inductive coding and thematic analysis. Results: The survey yielded 498 ...
Abstract: Medical question answering aims to enhance diagnostic support, improve patient education, and assist in clinical decision-making by automatically answering medical-related queries, which is ...
Bill Ackman has bet heavily on Microsoft shares, suggesting the stock's AI-driven upside remains undervalued by the market. Act now: the analyst who called NVIDIA in 2010 just named his top 10 AI ...
Abstract: Accurate and efficient question-answering systems are essential for high-quality patient care in the medical field. While Large Language Models (LLMs) have made remarkable strides across ...
For this proof-of-concept study, we used user-generated data from Reddit to answer clinicians’ questions on the use of xylazine and ketamine. Results: Our framework achieves comparable median scores ...
OpenEvidence, a fast-growing start-up, is using artificial intelligence to help doctors find answers to clinical questions for diagnosis and treatment. OpenEvidence, a fast-growing start-up, is using ...
Andy L. was a 19-year-old philosophy student at the University of Southampton, in England, when he first experienced a general malaise that left him with persistent headaches and feeling like he had a ...
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