Vision-language models (VLMs) show promise for answering clinically relevant questions, but their robustness to medical image artefacts remains unclear. We evaluated VLMs’ robustness through their performance on images with and without weak artefacts across…
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What You Should Know:
– Elation Health, the technology company focused on powering innovation in primary care, today released new survey findings detailing the measurable impact of its AI-powered platform on clinician efficiency and well-being.
–…
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GE HealthCare will acquire medical imaging company Intelerad for $2.3 billion in cash.
London-based private equity firm Hg Capital, whose healthcare portfolio also includes HHAeXchange and Rhapsody, acquired intelerad in 2020 for…
It’s a common refrain in hospitals, health systems and other enterprises: As technology increases in popularity and usefulness, the sprawl that ensues makes management and governance more difficult. In that sense, artificial intelligence tools…
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Accurately predicting surgical and transfusion needs in traumatic brain injury (TBI) patients remains challenging in emergency settings. We developed multiomics data fusion (MDF) models integrating clinical biomarkers, neural radiological imaging, and clinical text mining…
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The complexity and variability of high-resolution pathological images present significant challenges in computational pathology. While AI-driven pathology foundation models have advanced the field, they require large-scale datasets, substantial storage, and significant computational resources, as…
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Digital health interventions (DHIs) targeting blood pressure (BP) control were more effective in patient self-care than usual care (UC). However, the relative contribution of DHIs involving different healthcare practitioners (HCPs) towards BP control remained…
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How Does AI Relate to Healthcare Interoperability?
In a panel on the future of interoperable intelligence, Sarang Deshpande, vice president and chief data and analytics officer at Franciscan Health, said that for the past 10…
Many companies promoting AI-driven medical scribe products boast that the physician doesn't have to change their behavior in order to use the product. In contrast, Skriber trains the physician how to use it well,…
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Get Well and RhythmX AI merge patient engagement and precision medicine | Healthcare IT News
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