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A general framework for governing marketed AI/ML medical devices

A general framework for governing marketed AI/ML medical devices

June 1, 2025June 1, 2025
Psychological, economic, and ethical factors in human feedback for a chatbot-based smoking cessation intervention

Psychological, economic, and ethical factors in human feedback for a chatbot-based smoking cessation intervention

May 31, 2025May 31, 2025
From trial data to personalized medicine: a validated framework with an application to Crohn’s disease

From trial data to personalized medicine: a validated framework with an application to Crohn’s disease

May 31, 2025May 31, 2025
Global EHR Satisfaction 2025

Global EHR Satisfaction 2025

May 31, 2025May 31, 2025
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Tag: Critical Care Medicine

Real-Time AI Alerts Reduce Patient Deaths by 43%, Mount Sinai Study Finds

Real-Time AI Alerts Reduce Patient Deaths by 43%, Mount Sinai Study Finds

June 14, 2024June 15, 2024HIT Consultant

What You Should Know: 

– A new study from Mount Sinai Hospital suggests artificial intelligence (AI) can significantly improve patient outcomes by predicting and preventing health decline. The research, published in Critical Care Medicine, found…

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Brainomix e-Lung better identifies lung fibrosis patients at risk of decline

Brainomix e-Lung better identifies lung fibrosis patients at risk of decline

April 2, 2024April 2, 2024Digital Health

A research collaboration between Brainomix and AstraZeneca has shown that Brainomix’s AI-powered e-Lung software can more accurately identify lung fibrosis patients most at risk of decline.Brainomix published a study in the peer-reviewed journal ‘American…

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Machine-Learning Model Predicts Risk of Pediatric Deterioration

Machine-Learning Model Predicts Risk of Pediatric Deterioration

April 10, 2023April 12, 2023Health IT Analytics

By Sarai Rodriguez April 10, 2023 – Nationwide Children’s Hospital developed and deployed a machine-learning (ML) model that uses the deterioration risk index to promptly predict hospitalized children at risk for pediatric deterioration earlier than…

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As the chief clinical officer of a health system that includes five hospitals, I start almost every day by asking myself the question, "What will we need hospitals for in 2030?" How much that we do today will be safely done either at home or in the ambulatory setting in the near future given advancements in point-of-care diagnostics, telehealth, artificial intelligence, nanotechnology, robotics, drones, 3D printing, virtual reality, 5G, etc.?

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