What You Should Know:
– Ceribell, Inc. has secured FDA 510(k) clearance for the world’s first continuous, AI-powered delirium monitoring solution, expanding its existing EEG platform beyond seizure detection.
– The technology addresses a massive gap…
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The clinical application of the frailty phenotype and frailty index still has some limitations, and whether the classification of frailty based on metabolites is beneficial to the management of the frailty population remains unclear….
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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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The effectiveness of digital health management (DM) in post-discharge care for patients with coronary artery disease (CAD) remains insufficiently explored, particularly across public health emergencies. A total of 24,129 patients with CAD enrolled in…
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Clinical decision-making often simplifies continuous risk data into discrete levels using round-number thresholds. These simplifications can distort risk assessments. To systematically uncover these distortions, we develop an interpretable machine learning model that identifies anomalies…
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Atrial fibrillation (AF) is the most common arrhythmia worldwide and is associated with significant morbidity and mortality. FibriCheck is a medical analysis platform that uses an end-to-end algorithm to detect AF based on photoplethysmography…
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Professor Yang Wei of the Nottingham School of Art & Design. Picture provided by Nottingham Trent University
Researchers are developing a smart textiles bra to help women with intellectual disabilities monitor for breast…
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Background: Cardiovascular diseases remain the leading cause of mortality worldwide, accounting for 18 million deaths annually. Detection and prediction of cardiovascular conditions are essential for timely intervention and improved patient outcomes. Wearable devices offer…
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Chris Wood, CEO of Reveal Dx
With lung cancer being the leading cause of cancer-related deaths worldwide, advancements in AI-powered healthcare technology are offering newfound hope. Over the span of the next few decades, AI…
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Sepsis is the leading cause of mortality in burn patients, yet early identification remains difficult due to persistent hyperinflammatory responses and altered baseline physiology. We developed a streamlined machine learning model for early sepsis…
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