Medicare Reimbursement Reinstated for Hospital-at-Home Programs
Health systems across the United States are rapidly relaunching hospital-at-home programs following the restoration of Medicare reimbursement through the federal government’s reopening agreement. The resumption marks a critical recovery…
Psychosocial risk factors and social determinants of health (SDOH) contribute to persistent disparities in liver transplantation access. We developed a large language model framework to extract and analyze how these factors influence care trajectories….
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Explainable Artificial Intelligence (XAI) is proposed as essential for high-risk applications like healthcare, where it aims to enhance user trust. However, studies often rely on automated metrics rather than user evaluation. We adapt a…
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Adult diffuse gliomas are clinically and molecularly heterogeneous, complicating risk stratification and personalized management. We introduce GlioSurv, a multimodal transformer model based on an accelerated failure time framework to integrate multiparametric MRI, clinical and…
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Spatial transcriptomics (ST) offers insights into gene expression patterns and their spatial context within the tumor microenvironment, but remains limited by the scalability of current sequencing technologies. Existing approaches infer ST from whole-slide images…
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What You Should Know:
– Cityblock Health, a value-based provider specializing in the complex needs of the Medicaid population, and Mercy Health, part of the Bon Secours Mercy Health system, announced a strategic collaboration in…
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Nancy Davis, Founder of Cure Addiction Now, a groundbreaking organization dedicated to accelerating scientific research and innovative treatments to end addiction and save lives joins eHealth Radio and the Addiction Prevention and Health News…
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What You Should Know:
– AISAP, an AI Point-of-Care Diagnostics company, announced a landmark field initiative in Ghana to deploy its FDA-cleared AI-powered cardiac diagnosis platform. This program directly addresses the profound challenge of healthcare…
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Cage subsidence after oblique lumbar interbody fusion (OLIF) frequently causes poor outcomes, yet existing predictive models lack accuracy and applicability. This study leveraged the Least Absolute Shrinkage and Selection Operator (LASSO) regression to efficiently…
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Potentially malignant oral lesions are visible mucosal changes with risk of progressing to squamous cell carcinoma. These lesions are currently graded as no, mild, moderate, or severe dysplasia per WHO guidelines. While widely used,…
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