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Recent News AI Critical Care Surgical Techniques Patient Care Health IT Point of Care Business Focus

Image: Figure1. A Research Image: Using AI to analyze activity, sleep, daily-rhythm, and indoor environmental data collected through contactless sensors in older adults’ homes, the study identifies a “pre-diagnosis risk group” between healthy and diagnosed groups and evaluates “imminent risk” as the time of diagnosis approaches. (Photo courtesy of KAIST)

AI Identifies Hidden Stroke Risk Through At-Home Behavior Patterns

An AI approach analyzes daily activity and environment to flag imminent cerebrovascular disease risk. More...
13 Jul 2026
Photo courtesy of ZETA SURGICAL

FDA Clears Robotic System for Precise TMS Coil Positioning

An FDA-cleared TMS robotic system maintains on-target stimulation via real-time coil positioning and motion compensation. More...
13 Jul 2026
Image: Figure1. A Research Image: Using AI to analyze activity, sleep, daily-rhythm, and indoor environmental data collected through contactless sensors in older adults’ homes, the study identifies a “pre-diagnosis risk group” between healthy and diagnosed groups and evaluates “imminent risk” as the time of diagnosis approaches. (Photo courtesy of KAIST)

AI Identifies Hidden Stroke Risk Through At-Home Behavior Patterns

An AI approach analyzes daily activity and environment to flag imminent cerebrovascular disease risk. More...
13 Jul 2026
Image: Biofilm, a dense matrix of proteins and bacteria, can hide in the grooves of surgical instruments even after standard cleaning procedures. Bubble-generating microparticles can remove it. (Photo courtesy of Yujin Ahn/University of University of Illinois Urbana-Champaign)

Novel Microparticles Break Down Biofilms and Boost Antibiotic Activity

A new bubble-generating microparticle system disrupts biofilms, enhancing instrument reprocessing and accelerating wound healing. More...
10 Jul 2026
Image: (a) Classification of myocardial segments based on scar tissue extension. (b) LGE image analysis of a 52-year-old male patient with basal anterior and anteroseptal infarction. Scar tissue (yellow regions) was quantified as areas of high signal-intensity (intensity>5SDs from the remote non-infarcted segments). According to infarct extent, 6 basal segments were divided into 1 infarct, 1 border zone, 2 adjacent and 2 remote areas. (I. del Canto et al., Clinical Radiology (2026). DOI: 10.1016/j.crad.2025.1072050)

Cardiac MRI Detects Hidden Heart Dysfunction After Heart Attack

A cardiac MRI feature-tracking approach detects subtle remote ventricular dysfunction after MI. More...
10 Jul 2026
Image:Proteomic tear-fluid analysis revealed abnormal patterns in proteins that regulate nerves and T cells in individuals with eye problems (Image Credit: Adobe Stock)

Diagnostic Models Detect Hidden Eye Abnormalities After Mild COVID-19

New diagnostic models can detect post‑COVID ocular dysfunction using eye‑clinic measures and tear‑protein data. More...
10 Jul 2026
Image Credit: 123RF

AI-Guided Outreach System Improves Colorectal Cancer Screening

An AI-guided outreach approach raises colonoscopy completion for overdue patients. More...
10 Jul 2026
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