A new personalized computational framework called CODO Monitor improves bedside heart rate variability analysis by using adaptive algorithms to reduce false alarms and manage procedural data artifacts in real time.
Most Recent Articles
AI-Enhanced Digital Auscultation for the Early Detection of Valvular Heart Disease
Researchers have developed an AI algorithm that identifies 98% of severe heart valve disease cases by analyzing heart sounds, offering a high-accuracy screening tool for primary care settings.
Loss of Smooth Muscle Beta Arrestin 1 Drives Increased Pulmonary Vascular Tone
A new study reveals that beta arrestin 1 is essential for maintaining healthy blood pressure in the lungs by ensuring signaling molecules remain sensitive to nitric oxide.
Transfemoral Management of Mechanical Aortic Valve Failure via Disk Fragmentation
Researchers have successfully performed the first percutaneous mechanical valve-in-valve procedures, allowing doctors to replace defective mechanical heart valves through a catheter instead of high-risk repeat open-heart surgery
Predictive Accuracy of the Goliat Model in Estimating 48-Hour TBI Complications
The newly validated Goliat score allows emergency clinicians to accurately predict 48-hour complications in patients with non-severe traumatic brain injury using clinical indicators and S100B protein levels.
