Background: Approximately one-third of university students are overweight or obese, and a similar proportion experience anxiety or depression. Despite the interrelated nature of weight and mental health, interventions rarely address these issues simultaneously in…
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Shay Perera, co-founder and Chief Technology Officer of Navina
As healthcare organizations deepen their investments in value-based care, one obstacle continues to stymie progress: incomplete visibility into the patient’s health status. The problem isn’t limited…
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Precise localization of perfusion deficits in diffusion-weighted MRI (DWI) is critical for acute ischemic stroke management. However, existing deep learning methods typically produce discrete binary masks, failing to capture the continuous nature of ischemic…
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Diagnosing language disorders associated with autism is a complex challenge, often hampered by the subjective nature and variability of traditional assessment methods. In this study, we explored large language models (LLMs) to overcome the…
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Technical Momentum and Price Movement
The stock of One Global Service Provider closed at ₹577.85, marking a notable day change of 4.47% from the previous close of ₹553.10. This significant intraday movement demonstrates strong investor…
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What You Should Know:
– Scientists at the Icahn School of Medicine at Mount Sinai have developed a new artificial intelligence tool called V2P (Variant to Phenotype) that identifies not only disease-causing genetic…
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CMS distributed $3.3B to providers experiencing revenue disruptions, including $2.2B to hospitals, report says. The federal government overpaid hospitals and other providers in relief funding following the February 2024 cyberattack on Change Healthcare, according…
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Additional Benefits and Use Cases for a Data Clean Room in HealthcareWhile the data clean room is an increasingly important component of modern data center security and recovery strategy, healthcare organizations can benefit from…
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Artificial intelligence-enhanced electrocardiogram (AI-ECG) models have shown outstanding performance in diagnostic and prognostic tasks, yet their black-box nature hampers clinical adoption. Meanwhile, a growing demand for explainable AI in medicine underscores the need for…
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Artificial intelligence models analyzing speech show remarkable promise for identifying cognitive decline, achieving performance comparable to clinical assessments. However, their “black box” nature poses significant barriers to clinical adoption, as healthcare professionals require transparent…
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