What You Should Know:
ObjectiveHealth, a pioneer in integrated specialty research, today announced a strategic investment from Vitruvian Partners, a renowned global growth equity firm.
– This strategic investment will fuel ObjectiveHealth’s expansion and…
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HIMSS has unveiled a revamped Infrastructure Adoption Model (INFRAM) designed to revolutionize healthcare IT. Focused on cybersecurity, adoption, sustainability, performance, and outcomes, the updated model empowers health systems to align their IT infrastructure with…
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HIMSS this week announced an update and modernization of its Infrastructure Adoption Model.WHY IT MATTERSThe new INFRAM maturity framework is now centered around five key imperatives for healthcare organizations, and is designed to help…
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The Tsukuba team’s innovative CT-based radiomics deep learning model exhibits an 89% accuracy in predicting lymph node metastasis in nonfunctional pancreatic neuroendocrine tumors (NF-PNETs). Validated with external hospital data, the model maintains a remarkable…
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By Shania Kennedy
January 25, 2024 – A research team from the University of Michigan has developed a machine learning tool capable of accurately predicting death, major bleeding events, and the need for blood transfusion in…
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Discover how the FDA-cleared Vivio System by Ventric Health is reshaping heart failure diagnosis and management. With advanced algorithms for noninvasive diagnosis, this innovative cardiac device brings timely interventions to home and outpatient settings….
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One of the major barriers to using large language models (LLMs) in medicine is the perception they use uninterpretable methods to make clinical decisions that are inherently different from the cognitive processes of clinicians….
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Sepsis remains a major cause of mortality and morbidity worldwide. Algorithms that assist with the early recognition of sepsis may improve outcomes, but relatively few studies have examined their impact on real-world patient outcomes….
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What You Should Know:
– The Centers for Medicare & Medicaid Services (CMS) has taken a bold step towards improving care for individuals with both mental health conditions and substance use disorders (SUD), announcing the…
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In the U.S. inpatient payment system, the Diagnosis-Related Group (DRG) is pivotal, but its assignment process is inefficient. The study introduces DRG-LLaMA, an advanced large language model (LLM) fine-tuned on clinical notes to enhance…
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