We aim to comprehensively identify typical life-spanning trajectories and critical events that impact patients’ hospital utilization and mortality. We use a unique dataset containing 44 million records of almost all inpatient stays from 2003…
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By Shania Kennedy
February 29, 2024 – Researchers at the Icahn School of Medicine at Mount Sinai have developed machine learning (ML) models to identify mortality predictors in dementia patients, according to a study published this…
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Explore the groundbreaking fusion of Artificial Intelligence (AI) and Fast Healthcare Interoperability Resources (FHIR) in revolutionizing sepsis management. Through an end-to-end workflow, leveraging real-time predictive analytics and seamless integration into clinical workflows, healthcare providers…
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While 80-85% of sepsis cases present within the first 48 hours of admission, they have lower mortality (5-10%) compared with 15-20% of cases that present later and have higher mortality (15-30%).To better – and…
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Effective breast cancer screening is vital in reducing mortality rates among women. This study explores the optimal age to commence screening and the frequency for maximum benefits. By analyzing data from the Cancer Intervention…
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By Shania Kennedy
February 12, 2024 – Researchers from Mount Sinai have been awarded $4.1 million from the National Heart, Lung, and Blood Institute (NHLBI) at the National Institutes of Health (NIH) to develop artificial intelligence…
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Loral Patchen, Sr. Faculty Midwife Attending, MedStar Washington Hospital Center
Anish Sebastian, CEO and Co-founder, Babyscripts
Our mothers are dying. In 2021, the United States saw 32.9 maternal deaths per 100,000 live births. When stratified by…
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Sepsis remains a major cause of mortality and morbidity worldwide. Algorithms that assist with the early recognition of sepsis may improve outcomes, but relatively few studies have examined their impact on real-world patient outcomes….
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News
Researchers predict that AI will enhance the longer-term benefits of using wearables data, such as step tracking, either by directly providing health coaching or by analyzing wearables data to give human health coaches a…
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By Shania Kennedy
December 19, 2023 – Researchers from the Smidt Heart Institute at Cedars-Sinai, Stanford University, and Columbia University have developed and validated a deep learning (DL) model capable of predicting postoperative mortality risk, according…
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