Hospital-Based Medicine

Risk Management

Latest AI and machine learning research in risk management for healthcare professionals.

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Costing Methods for Artificial Intelligence: Systematic Review and Recommended Cost Inventory for in Health Technology Assessment

Economic evaluations of artificial intelligence (AI) in healthcare are expanding rapidly, yet underl...

Understanding the Relationship Between Germ Layer Origin and Cancer Therapy Response: A Systematic Review

Cancer therapeutic response patterns may be fundamentally influenced by embryonic germ layer origin....

Fragile X Syndrome in Brazil: Development and Validation of a Clinical Checklist for Population Screening

Fragile X Syndrome (FXS) is the most common inherited cause of intellectual disability and syndromic...

Accuracy of AI-assisted diagnostic tools for Schistosoma haematobium: A systematic review and meta-analysis

Urogenital schistosomiasis caused by Schistosoma haematobium remains endemic in sub-Saharan Africa. ...

Oxytocin Enhances Social-Emotional Reciprocity in Autism

We evaluated whether oxytocin improves social-emotional reciprocity in children and adolescents with...

Improving Doctor-Patient Communication Using Large Language Models - Results from an Experimental Study

Medical jargon poses significant barriers to patient comprehension of healthcare information, potent...

GlioMODA: Robust Glioma Segmentation in Clinical Routine

Precise glioma segmentation in MRI is essential for accurate diagnosis, optimal treatment planning, ...

Measuring the Quality of AI-Generated Clinical Notes: A Systematic Review and Experimental Benchmark of Evaluation Methods

High-quality clinical documentation is essential for safe, effective care, yet producing it is time ...

Incorporating Dietary Information to Enhance Polygenic Prediction Models with Applications to Body Mass Index and Type 2 Diabetes

Polygenic predictors can enhance screening for biomedical conditions, such as metabolism-related tra...

Shared genetic architecture of brain age gap across 30 cohorts worldwide

Deviations from normative brain ageing trajectories are linked to a wide range of adverse health out...

Explainability in action: A metric-driven assessment of local explanations for healthcare tabular models

Explainable AI (XAI) is essential in clinical machine learning, yet quantitative evaluation of expla...

GENPHIRE: Enhancing Disease Risk Prediction Using Large Language Model

Estimating an individual’s liability to a disease is a fundamental problem in genome research. By ex...

Machine learning augmented genome-wide meta-analysis of prescription opioid use in 860,000 individuals

Opioid analgesics are widely prescribed for pain, yet individuals vary markedly in their patterns of...

SMART (artificial intelligence enabled) DROP (diabetic retinopathy outcomes and pathways): Study protocol for diabetic retinopathy management.

INTRODUCTION: Delayed diagnosis of diabetic retinopathy (DR) remains a significant challenge, often ...

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A Large-Scale Study on Video Action Dataset Condensation

Recently, dataset condensation has made significant progress in the image domain. Unlike images, v...

The Future of IPTV: Security, AI Integration, 5G, and Next-Gen Streaming

The evolution of Internet Protocol Television (IPTV) has transformed the landscape of digital broa...

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