By Shania Kennedy
March 11, 2024 – Researchers from Mount Sinai have been awarded a four-year, $3 million grant from the National Heart, Lung, and Blood Institute of the National Institutes of Health (NIH) to develop…
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Making medical decisions smarter with AI may require additional time and working through regulations. However, when it comes to administrative tasks that cost a lot in healthcare, especially in the US, we can make…
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The study evaluates the effectiveness of Epic’s Risk of hospital-acquired acute kidney injury (HA-AKI) model, utilizing data from a cohort within the Mass General Brigham network. Despite demonstrating moderate success in predicting HA-AKI, the…
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At this year’s HIMSS Global Health Conference & Exhibition in Orlando there will be – it probably won’t surprise you to know – a strong focus on all things artificial intelligence. Machine learning models and…
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Over the last ten years, there has been considerable progress in using digital behavioral phenotypes, captured passively and continuously from smartphones and wearable devices, to infer depressive mood. However, most digital phenotype studies suffer…
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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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Large language models (LLMs) have been shown to have significant potential in few-shot learning across various fields, even with minimal training data. However, their ability to generalize to unseen tasks in more complex fields,…
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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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Hematoma expansion (HE) is a modifiable risk factor and a potential treatment target in patients with intracerebral hemorrhage (ICH). We aimed to train and validate deep-learning models for high-confidence prediction of supratentorial ICH expansion,…
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Virtual Rehabilitation (VRehab) is a promising approach to improving the physical and mental functioning of patients living in the community. The use of VRehab technology results in the generation of multi-modal datasets collected through…
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