Recent advances in large language models (LLMs) have demonstrated remarkable successes in zero- and few-shot performance on various downstream tasks, paving the way for applications in high-stakes domains. In this study, we systematically examine…
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In this discussion with Andrew Meadow, General Partner of Health Innovation Capital, at HIMSS 2023 we discover the under-discussed trend of directing healthcare innovation towards the younger patient population. Andrew sheds light on the…
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Review by Tyler Smith, CEO, Health Data Movers.
Reading a paperback in the age of AI feels (and is) anachronistic. But until Neuralink pumps the information into our brains, such combinations of societal…
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Hand drawing, which requires multiple neural systems for planning and controlling sequential movements, is a useful cognitive test for older adults. However, the conventional visual assessment of these drawings only captures limited attributes and…
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We present an artificial intelligence (AI) system to remotely assess the motor performance of individuals with Parkinson’s disease (PD). In our study, 250 global participants performed a standardized motor task involving finger-tapping in front…
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Researchers at Oregon State University have developed a drug delivery system that is intended to treat ectopic pregnancy. Often occurring in the fallopian tubes, ectopic pregnancies are non-viable and are the leading cause of…
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Researchers at the Harvard John A. Paulson School of Engineering and Applied Sciences have developed a technique that allows them to 3D print a heart ventricle, that can then go on to beat rhythmically….
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While most thought leaders in digital health believe large language models (LLMs) are still too immature to guide clinical decision making, a case can be made for using them for writing medical notes and…
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Recent HIMSS Davies Award winners, including Stanford Medicine, Saint Luke’s, Mackenzie Health, and China Medical University Hospital, are recognized for their innovative use of technology and information to improve healthcare quality. Stanford Medicine employs…
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Electronic health records are often incomplete, reducing the power of genetic association studies. For some diseases, such as knee osteoarthritis where the routine course of diagnosis involves an X-ray, image-based phenotyping offers an alternate…
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