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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I'm a firm believer that that gut feeling, that first instinct that you have, sometimes you might not have all of the data to support it because your brain, just like a machine learning…
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Clinician-scientist, surgeon, and entrepreneur, Professor Hutan Ashrafian’s track record in translating novel technologies to healthcare includes developing an algorithm with Google to detect breast cancer and leading its translation into clinical practice. Ranked in…
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What You Should Know:
– Empathy Health Technologies, the maker of the Sober Sidekick platform, has secured $7.6M in new growth funding, bringing its total to $11.4M.
– The investment will fuel the expansion of its…
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What You Should Know:
– Ceribell, Inc. today announced that the U.S. FDA has granted 510(k) clearance for its next-generation Clarity® algorithm.
– The FDA clearance makes the Ceribell System the first and only AI-powered point-of-care…
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Background: The mHealth App was believed as an effective method to support family caregivers to better care for stroke patients. This study aimed to explore the status and the influencing factors of mHealth App…
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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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Risks and Challenges of Using AI in Pediatrics
Large language models are prone to “sycophancy,” or the desire to satisfy the user prompting it, as well as hallucinations, which involve fabricated findings, Desai explains.
He notes…
Respiratory circuit events, including fluid accumulation and circuit or cuff leakage during mechanical ventilation, increase ventilator-associated event risks but often go undetected. We developed a convolutional neural network analyzing 57,296 annotated breaths (26,768 training/internal…
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PreOpNet is a novel deep-learning algorithm using 12-lead digital electrocardiogram (ECG) for preoperative risk assessment of all-cause death and major adverse cardiac events (MACE) within 30 days. Its performance in European high-risk patients undergoing…
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