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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Recent advancements in large language models (LLMs) have demonstrated their potential in numerous medical applications, particularly in automating clinical trial matching for translational research and enhancing medical question-answering for clinical decision support. However, our…
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Large language models generate plausible text responses to medical questions, but inaccurate responses pose significant risks in medical decision-making. Grading LLM outputs to determine the best model or answer is time-consuming and impractical in…
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Small language models (SLM) offer promise for medical applications by addressing the privacy and hardware constraints of large language models; however, their limited parameters (often fewer than ten billion) hinder multi-step reasoning for complex…
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While holding great promise for improving and facilitating healthcare through applications of medical literature summarization, large language models (LLMs) struggle to produce up-to-date responses on evolving topics due to outdated knowledge or hallucination. Retrieval-augmented…
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Unlike their more modern large language model counterparts, artificial neural networks require human input to learn and function.ANNs have been around since the 1950s. They started taking hold in healthcare in the 1990s. Within…
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Large language models (LLMs) show promise in mental health care for handling human-like conversations, but their effectiveness remains uncertain. This scoping review synthesizes existing research on LLM applications in mental health care, reviews model…
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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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United Arab Emirates-based Burjeel Holdings, a healthcare services provider, and Hippocratic AI, a generative AI company developing safety-focused large language models for healthcare, announced a strategic partnership to alter healthcare delivery. Burjeel Holdings operates in…
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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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