US Health Policy

Latest AI and machine learning research in us health policy for healthcare professionals.

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Management of scientific and ancestral knowledge: a decision-making model in mezcal industry in Mexico.

INTRODUCTION: Knowledge management is essential to ensure the sustainability of rural communities an...

Single-Protein Determinations by Magnetofluorescent Qubit Imaging with Artificial-Intelligence Augmentation at the Point-Of-Care.

Conventional point-of-care testing (POCT) has limitations in sensitivity with high risks of missed d...

Poets Over Quants: Automation and AI Threats Increase the Value People Place on Creativity.

We examine how perceived automation and AI threats (the belief that advanced technology threatens hu...

Advanced traffic conflict analysis for safety evaluation at roundabouts under mixed traffic using extreme value theory.

Roundabout safety evaluation in non-lane-based, heterogeneous traffic conditions in low-middle-incom...

Clinical Value of ChatGPT for Epilepsy Presurgical Decision-Making: Systematic Evaluation of Seizure Semiology Interpretation.

BACKGROUND: For patients with drug-resistant focal epilepsy, surgical resection of the epileptogenic...

The added value of artificial intelligence using Quantib Prostate for the detection of prostate cancer at multiparametric magnetic resonance imaging.

PURPOSE: Artificial intelligence (AI) has been proposed to assist radiologists in reporting multipar...

Predictive value of the 5-item modified frailty index in adverse outcomes in total elbow arthroplasty: A machine-learning model analysis.

INTRODUCTION: The modified frailty index (mFI-5) is a five factor risk stratification tool predicate...

Surgical and radiological outcomes of giant cell tumor of the bone: prognostic value of Campanacci grading and selective use of denosumab.

BACKGROUND: Advancements in diagnostic and therapeutic modalities for giant cell tumors of bone (GCT...

Social media interaction and built environment effects on urban walking experience: A machine learning analysis of Shanghai Citywalk.

In fast-paced urban environments, Citywalk has emerged as a key leisure activity for urban residents...

Sustaining Ophthalmic Practices for the Future: A High-Value Care Approach to Environmental Responsibility.

Ophthalmology, like all medical specialities, is continuously evolving to adapt to emerging challeng...

Sweet pepper yield modeling via deep learning and selection of superior genotypes using GBLUP and MGIDI.

Intelligent knowledge about Capsicum annuum L. germplasm could lead to effective management of germp...

The clinical significance of an AI-based assumption model for neurocognitive diseases using a novel dual-task system.

Dual-task composed of gait or stepping tasks combined with cognitive tasks has been well-established...

Influence Enhanced Sparse Coordination Graphs for Multi-Agent Reinforcement Learning.

In contemporary Multi-Agent Reinforcement Learning (MARL), effectively enhancing the expressive capa...

Value of Artificial Intelligence for Enhancing Suspicion of Cardiac Amyloidosis Using Electrocardiography and Echocardiography: A Narrative Review.

Nonspecific symptoms and other diagnostic challenges lead to underdiagnosis of cardiac amyloidosis (...

Prediction of Clavien Dindo Classification ≥ Grade III Complications After Epithelial Ovarian Cancer Surgery Using Machine Learning Methods.

Ovarian cancer surgery requires multiple radical resections with a high risk of complications. The ...

Using fuzzy decision support to create a positive mental health environment for preschoolers.

The preschool period is a crucial time for behavioural and social-emotional development and the cult...

Searching for Value Sensitive Design in Applied Health AI: A Narrative Review.

OBJECTIVE: Recent advances in the implementation of healthcare artificial intelligence (AI) have dra...

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