Cath Lab Digest

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Boston -- Artificial intelligence is fundamentally reshaping the cardiovascular devices landscape, driven by a convergence of clinical urgency, regulatory momentum, and accelerating private capital.

SAN FRANCISCO--Element Science, a pioneering health technology company and creator of the Jewel® Patch Wearable Cardioverter Defibrillator (Patch-WCD) to monitor and protect patients at high-risk of sudden cardiac arrest (SCA), announced several strategic appointments to its executive leadership team. These key hires bring extensive industry experience across commercial strategy, operations, finance, and human resources to drive the company's next phase of growth.

TCT 2026 NEW YORK – The Cardiovascular Research Foundation® (CRF®) announced the late-breaking clinical trials and science selected for presentation at TCT® 2026, the annual scientific symposium of CRF and the world’s premier educational meeting specializing in interventional cardiovascular medicine. This year’s conference will take place October 31–November 3 at the San Diego Convention Center bringing together leading investigators, clinicians, and innovators from around the world.

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This study investigated the ability of a machine-learning algorithm to detect hypertension and diabetes from facial videos. The algorithm detected hypertension with more than 90% accuracy and diabetes with more than 80% accuracy from 5-second... This study investigated the ability of a machine-learning algorithm to detect hypertension and diabetes from facial videos. The algorithm detected hypertension with more than 90% accuracy and diabetes with more than 80% accuracy from 5-second...

Key takeaways A long-term analysis studied the effects of the artificial sweetener, xylitol, on cardiovascular events in the general population. High blood levels of xylitol were associated with a greater risk of cardiovascular events than lower levels. Further studies on the safety of xylitol and other artificial sweeteners are warranted as they continue to be used in increasing amounts.

Key takeaways This study investigated the ability of a machine-learning algorithm to detect hypertension and diabetes from facial videos. The algorithm detected hypertension with more than 90% accuracy and diabetes with more than 80% accuracy from 5-second videos. If validated, the AI model may serve as a scalable tool to enable wider screening.

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GEORGETOWN, TX — Radiation Detection Company (RDC), the world's longest-operating providers of occupational dosimetry services, announced the launch of Radiant real-time dosimetry, a connected electronic dosimetry solution designed to provide clinicians with immediate visibility into radiation levels during high-exposure medical procedures.