Clinical evidence synthesis largely relies on systematic reviews (SR) of clinical studies from medical literature. Here, we propose a generative artificial intelligence (AI) pipeline named TrialMind to streamline study search, study screening, and data…
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The study assessed the feasibility of using synthetic data to fine-tune various open-source LLMs for free text to structured data conversation in radiology, comparing their performance with GPT models. A training set of 3000…
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US health systems receive up to 200 M monthly website visitors. Connecting patient searches to the appropriate workflow requires accurate classification. A dataset of searches on ~15 US health system websites was annotated, characterized, and…
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Phenotypic information for cancer research is embedded in unstructured electronic health records (EHR), requiring effort to extract. Deep learning models can automate this but face scalability issues due to privacy concerns. We evaluated techniques…
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ChatEHR, AI software developed at Stanford Medicine, is speeding up chart reviews by permitting clinicians to ask questions about medical records.Similar to how you can chat with a large language model like GPT-4, Stanford Health…
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Physicians, nurses and other clinicians at Stanford Health Care are now able to interact directly with electronic health records, via a new software tool known as ChatEHR.WHY IT MATTERSThe tool, built by data scientists…
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Mass General Brigham researchers see value in a hybrid approach that makes use of generative artificial intelligence to diagnose patients. Comparing two arge language models – OpenAI’s GPT-4 and Google’s Gemini 1.5 – with its…
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The advent of large language models (LLMs) represents an enormous opportunity to revolutionize medical education. Via “synthetic education,” LLMs can be harnessed to generate novel content for medical education purposes, offering potentially unlimited resources…
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Understanding reasons for treatment switching is of significant medical interest, but these factors are often only found in unstructured clinical notes and can be difficult to extract. We evaluated the zero-shot abilities of GPT-4…
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Seizure frequency is essential for evaluating epilepsy treatment, ensuring patient safety, and reducing risk for Sudden Unexpected Death in Epilepsy. As this information is often described in clinical narratives, this study presents an approach…
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