Enabled by the rapid rise in data collected by technologies, Digital Biomarkers (DBx) have emerged as a novel mechanism for assessment, diagnosis, and monitoring. However, the exponential growth and ability to generate new data…
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There are healthcare leaders who believe in technology and AI as the main solution for physicians’ burden and burnout, and leaders who are skeptical about AI’s ability to deliver those promises without compromising ethics,…
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What You Should Know:
– Hippocratic AI, the company that pioneered the first healthcare LLM for patient-facing non-diagnostic clinical tasks, today announced that the company completed its series B financing round only nine months after…
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Hippocratic AI, a generative AI company developing safety-focused large language models for healthcare, announced it closed a $141 million Series B round, bringing its valuation to $1.64 billion. Kleiner Perkins, the venerated VC firm that…
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Using administrative claims and electronic health records for observational studies is common but challenging due to data limitations. Researchers rely on phenotype algorithms, requiring labor-intensive chart reviews for validation. This study investigates whether case…
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Real-world data is invaluable to healthcare tech developers. This type of data reflects actual patient experiences, treatments and outcomes in diverse, real-world environments — rather than controlled clinical trial settings, pointed out Atropos Health…
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Researchers concluded that the strong performance of GPT-4 large language models (LLMs) suggests their potential as a tool to help fill gaps in physicians’ knowledge and aid in diagnosing medical conditions in the future,…
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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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