Marc Succi, MD, Founder and Executive Director of the MESH Incubator at Mass General
What You Should Know:
– A new study published in the Journal of Medical Artificial Intelligence explores the potential of large language…
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Large Language Models (LLMs) have shown promise in clinical applications through prompt engineering, allowing flexible clinical predictions. However, they struggle to produce reliable prediction probabilities, which are crucial for transparency and decision-making. While explicit…
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Autonomous Medical Evaluation for Guideline Adherence (AMEGA) is a comprehensive benchmark designed to evaluate large language models’ adherence to medical guidelines across 20 diagnostic scenarios spanning 13 specialties. It includes an evaluation framework and…
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AI innovation and adoption is booming in healthcare, from diagnostic tools to personalized medicine. While healthcare leaders are optimistic, IT leaders I’ve spoken with are less certain. When lives are on the line, how…
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National Taiwan University Hospital is moving to the next phase of its large AI development to focus on multiple data types. The hospital recently acquired two new supercomputers from NVIDIA, which would help accelerate its development…
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Mayo Clinic clinicians are starting to explore how they might use healthcare-specific large language models – accessed through a generative artificial intelligence chat application – to enhance patient care and improve clinical decisions.Where ChatGPT…
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GPUs are also used to train large language models that can improve both provider and patient experiences. This type of AI is used for clinical documentation and medical chatbots.
Experts say the faster and greater…
System C is trialling an AI assistant for social care in the NHS, developed in partnership with Microsoft to support social care practitioners by reducing their admin burden.
The technology, which will be available within…
Large language models (LLMs) are increasingly applied in medical documentation and have been proposed for clinical decision support. We argue that the future for LLMs in medicine must be based on transparent and controllable…
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Researchers from the National Institutes of Health are using large language models to develop an artificial intelligence framework to streamline the clinical trial matching process and more quickly link potential volunteers to relevant trials…
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