Population health initiatives often rely on cold outreach to close gaps in preventive care, such as overdue screenings or immunizations. Tailoring messages to diverse patient populations remains challenging, as traditional A/B testing requires large…
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In the future, large language models (LLMs) may enhance the delivery of healthcare, but there are risks of misuse. These methods may be trained to allocate resources via unjust criteria involving multimodal data -…
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Generative AI has limitations, but with each quarter, performance and adoption are growing at an unprecedented rate.
By Paul Cerrato, senior research analyst and communications specialist, Mayo Clinic Platform and John Halamka, M.D., President, Mayo…
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Large language models (LLMs) are poised to become a much bigger part of doctors’ clinical workflows, according to Scott Gottlieb, who served as commissioner of the FDA during the Trump administration.
He shared this take…
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Collaborative research in Asia has called for prudence in using popular large language model-based (LLM) chatbots as part of public health research and response.In a study, which findings were published in BMJ, researchers from…
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Clinical trial matching is the task of identifying trials for which patients may be eligible. Typically, this task is labor-intensive and requires detailed verification of patient electronic health records (EHRs) against the stringent inclusion…
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The following is a guest article by David Lareau, CEO at Medicomp Systems
A couple of years ago, we predicted an impending “explosion” of Medicare Advantage (MA) fraud and penalties. That prediction has now become…
Large language models (LLMs) have broad medical knowledge and can reason about medical information across many domains, holding promising potential for diverse medical applications in the near future. In this study, we demonstrate a…
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Increasing interest in applying large language models (LLMs) to medicine is due in part to their impressive performance on medical exam questions. However, these exams do not capture the complexity of real patient–doctor interactions…
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Apple researchers have released a study highlighting the limitations of large language models (LLMs), concluding that LLMs’ genuine logical reasoning is fragile and that there is “noticeable variance” in how models respond to different…
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