Welcome to the weekly edition of Healthcare IT Today Bonus Features. This article will be a weekly roundup of interesting stories, product announcements, new hires, partnerships, research studies, awards, sales, and more. Because there’s…
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What You Should Know
The Reality: The U.S. healthcare system is in a “structural pressure” cooker. While patient outcomes are improving (mortality down 33%), the financial model is fracturing under the weight of an aging…
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Excessive sodium intake is a major contributor to cardiovascular disease and mortality. Reducing daily sodium consumption to below 2 g (~5 g of salt) effectively lowers cardiovascular mortality rates. The growing reach of social media and…
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What You Should Know:
– Ceribell’s LVO Stroke Breakthrough In January 2026, the FDA granted Breakthrough Device Designation to Ceribell for its LVO (Large Vessel Occlusion) stroke monitor.
– This first-in-class tool applies an AI algorithm…
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Background: The progression of chronic obstructive pulmonary disease (COPD) leads to increased morbidity and mortality, emphasizing the need for effective self-management. Challenges such as accessibility, cost, and patient engagement hinder self-management efforts, underscoring the…
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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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