There is overwhelming evidence from academic research and industry benchmarks that domain-specific and task-specific large language models outperform general-purpose LLMs across multiple dimensions: Accuracy, veracity, human preference, and cost. This...
Clinical data summarization using generative AI involves leveraging advanced algorithms to extract, analyze, and condense vast amounts of medical information into concise, actionable insights. This technology employs natural language processing...
In this speech, I will provide an overview of the current challenges faced by healthcare professionals in accessing and interpreting vast amounts of patient data. I will discuss how our...
Clinical decision making is often based on analysis of retrospective patient cohorts to enable and guide treatment decisions. In general, there are large volumes of data within hospitals within Electronic...
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