Avandra
What You Should Know:
– Avandra Health, the world’s largest federated network for medical imaging and clinical data, today announced the acquisition of DatCard Systems and Sorna Corporation. This strategic move is set to establish…
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What You Should Know:
– A new, collaborative analysis conducted by the American Telemedicine Association (ATA) Center of Digital Excellence (CODE) and nine major U.S. health systems provides critical operational evidence on Medicare telehealth utilization…
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For the 104th episode of the CIO podcast hosted by Healthcare IT Today, we are joined by Madhu Narasimhan, CIO at DaVita, to talk about leveraging AI! We kick this episode off by discussing…
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P4 medicine (Predictive, Preventive, Personalized, and Participatory) offers a comprehensive approach to personalized healthcare, emphasizing both the transition from disease to wellness and the importance of preventive care. In this perspective, we propose a…
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Exclusive: Pangaea Data, AstraZeneca leverage AI to detect rare diseases | MobiHealthNews
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Real-time prediction of short-term mortality risk in the intensive care unit (ICU) is often hampered by missing medical data. To address this, we developed RealMIP, an end-to-end framework leveraging generative model for the dynamic…
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Synthetic tabular data generation (SDG) is increasingly important in healthcare research and innovation while preserving patients’ privacy. However, ethical concerns remain, primarily over residual privacy vulnerability and insufficient oversight. This review analyzes the only…
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Sjögren’s disease (SjD) is a common systemic autoimmune disease that remains difficult to diagnose early due to non-specific symptoms and lack of definitive biomarkers. This multicentre retrospective cohort study analysed data from 34,958 patients…
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The Science, Innovation and Technology Committee has called for UK companies to be prioritised for big NHS technology contracts, rather than US giants such as Microsoft and Palantir.
Ian Murray, minister for digital government and…
Effective risk stratification is essential in clinical practice, enabling better resource allocation and improved patient outcomes. Although machine learning models have been widely used for risk prediction and stratification in electronic health record (EHR)…
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