Large language models (LLMs) with retrieval-augmented generation (RAG) have improved information extraction over previous methods, yet their reliance on embeddings often leads to inefficient retrieval. We introduce CLinical Entity Augmented Retrieval (CLEAR), a RAG…
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Mental health is shaped by socio-environmental determinants, yet traditional research approaches struggle to capture their complex interactions. This review explores the potential of generative agents, powered by large language models, to simulate human-like behaviour…
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Electronic health records (EHRs) secondary usage with large language models (LLMs) raise privacy challenges. National regulations like GDPR and HIPAA offer protection frameworks, but specific strategies are needed to mitigate risk in generative AI….
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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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