Large language models (LLMs) can optimize clinical workflows; however, the economic and computational challenges of their utilization at the health system scale are underexplored. We evaluated how concatenating queries with multiple clinical notes and…
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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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The Hong Kong University of Science and Technology has recently announced its development of four large language models for healthcare.WHAT IT’S ABOUT
Developed out of HKUST SuperPOD, the university’s AI supercomputing facility, the LLM-based tools…
Healthcare organizations have sometimes been slow to adopt new artificial intelligence tools and other leading-edge innovations because of valid safety and transparency concerns. But to improve care quality and patient outcomes, healthcare needs those…
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Investment Follows Technical Collaboration on Large Language Models for Healthcare
Hippocratic AI, the company building the first safety-focused Large Language Model (LLM) for healthcare, today announced it has received an investment from NVentures, NVIDIA’s venture…
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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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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