What You Should Know:
– Elation Health, the technology company focused on powering innovation in primary care, today released new survey findings detailing the measurable impact of its AI-powered platform on clinician efficiency and well-being.
–…
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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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What You Should Know:
– SimonMed Imaging, one of the nation’s largest outpatient medical imaging providers, announced the launch of a new digital health platform, powered by Cascaid Health to ensure women complete vital follow-up…
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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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Imagine if healthcare technology wasn’t implemented without nurses’ input, but instead was created with them, for them — designed around their expertise, needs and real-world experience.
That’s how Mayo Clinic Chief Nursing Officer Ryannon Frederick…
What You Should Know:
Voio, a frontier AI lab spun out of UC Berkeley and UCSF, has secured $8.6M in seed funding led by Laude Ventures and The House Fund to launch a unified reading…
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What You Should Know:
– GE HealthCare has announced the submission of a 510(k) to the U.S. FDA for Photonova™ Spectra, its new photon-counting computed tomography (PCCT) system with advanced AI algorithms.
– Built on proprietary…
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Epic’s 2025 Enhancement Suite Overview
Epic Systems announced plans in August to introduce an extensive collection of improvements throughout 2025, marking one of the most substantial platform updates in recent years. Healthcare organizations utilizing Epic’s…
Historic Healthcare AI Partnership Announced
West Des Moines, Iowa-based UnityPoint Health has made healthcare history by becoming the first organization to join Mayo Clinic Platform_Insights, a groundbreaking program designed to accelerate digital transformation across the…
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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