EPtalk by Dr. Jayne 5/1/25
A hot topic around the virtual physician lounge this week was the potential for an impending staffing crisis. It’s not the nursing crisis that everyone talks about, however. Instead, it is the risk that…
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Tag: risk
Impact of missing electronic fetal monitoring signals on perinatal asphyxia: a multicohort analysis
Cardiotocography (CTG) is essential for monitoring high-risk pregnancies, yet perinatal asphyxia prediction accuracy remains limited to 50–55%. Regions of artifacts (missing valid signals)-including signal processing aberrations-possibly contribute to this limitation, highlighted by 40% of…
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Illuminated Smart-Lite Systems: A Simple Solution to Prevent IV Medication Errors
Rodney Schutt, CEO of Orion Innovations
Ensuring patient safety in acute and critical care settings has become more challenging than ever before. Nurses, clinicians, and caregivers are facing more demands – often with fewer resources….
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Healthcare AI News 4/30/25
News
Meta rolls out Meta AI, featuring voice chat, a Discover feed that shows how others use AI, optional personalization that draws from the user’s Facebook and Instagram accounts, and support for Meta’s AI glasses.
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This study introduces a system for predicting disease progression events in multiple myeloma patients from the CoMMpass study (N = 1186). Utilizing a hybrid neural network architecture, our model predicts future blood work from historical lab…
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Thyroid cancer AI assistant developed in Hong Kong
A large language model-powered AI assistant developed in Hong Kong has demonstrated high accuracy in thyroid cancer staging and risk classification.A team of researchers from the Li Ka Shing Faculty of Medicine of the…
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AI Shows High Accuracy in Suicide Risk Assessment: NeuroFlow Study
What You Should Know:
– NeuroFlow, a company focused on uncovering hidden behavioral health needs to enable more effective care, today published new research findings demonstrating how technology can significantly improve the ability to identify…
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Artificial intelligence based multispecialty mortality prediction models for septic shock in a multicenter retrospective study
Septic shock is one of the most lethal conditions in ICU, and early risk prediction may help reduce mortality. We developed a TOPSIS-based Classification Fusion (TCF) model to predict mortality risk in septic shock…
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Mount Sinai Calibrates AI Algorithm to Provide Specific HCM Risk Probabilities from ECGs
What You Should Know:
– Researchers at Mount Sinai have enhanced an existing artificial intelligence (AI) algorithm to provide specific numeric probabilities identifying patients at risk for hypertrophic cardiomyopathy (HCM), a common inherited heart condition,…
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Evaluating compliance with HeatSuite for monitoring in situ physiological and perceptual responses and personal environmental exposure
Extreme heat events pose a significant health threat to vulnerable populations such as the elderly and those living with disease. Recent extreme heat events highlight that heat-related mortality often occurs indoors, urging a need…
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