Medicare

Global eye care frameworks: a review of strategies, gaps, and recommendations for equitable access.

Access to eye care remains a global health priority, particularly for underserved populations in rural, Indigenous, and low-income communities. Despite advancements in ophthalmic care and technology, substantial inequities persist, exacerbating preventable vision loss and its associated social and economic consequences. International and national eye care frameworks have emerged as critical tools ...

Graph neural network-based mutation-aware regression test ordering using code dependency graphs and execution traces.

The mutation-aware test prioritisation system in this paper uses Graph Neural Networks (GNNs) to combine static program structure, dynamic execution traces, and mutation coverage into a hybrid graph representation to enhance regression testing. The framework embeds higher-order dependencies in test cases using GCN, GAT, and GraphSAGE variations and ranks them using a multi-objective optimisation f...

Korean longitudinal study on digitally optimized mental healthcare: a cohort profile.

The Korean Longitudinal Study on Digitally Optimized Mental Healthcare is an innovative multicenter trial-ready cohort study. It aims to develop a dig...

Predicting psychological risk among college students using the Freshman Entrance Psychological Survey: A machine learning model based on LASSO-logistic regression.

OBJECTIVE: With college freshmen under increasing psychological pressures, early detection of those at risk is critical. We applied machine learning t...

Cross-sectional analysis of accuracy versus interpretability in Medicare Advantage risk adjustment.

BACKGROUND: Risk adjustment models in Medicare Advantage determine annual payments of over $300 billion in public funds to private companies. Policyma...

Improving Genotype Imputation in High-Dimensional Pharmacogenomics Using Multiple Imputation: Evaluation with Machine Learning Approaches.

Multiple imputation is well-established for handling missing data, yet its use in high-dimensional genetic datasets remains limited. Using pharmacokin...

Generative artificial intelligence provides accurate case selection in veterinary retrospective studies.

OBJECTIVE: To evaluate the agreement of automation tools with expert evaluators in identifying cases meeting inclusion and exclusion criteria for retr...

Rewriting the Note with Technology: The Evolution and Future of Clinical Documentation.

This article traces the historical evolution and current complexities of clinical documentation, emphasizing its transformation under regulatory, fina...

Understanding unrealized trial enrollments following patient-to-trial matching with large language models.

BACKGROUND: Clinical trials are essential for advancing cancer care, but identifying eligible patients in surgical clinics can be challenging due to t...

Sieving Hydrogen Isotopes via Machine Learning Assisted Chemical Vapor Deposition (CVD) of High-Quality Monolayer Hexagonal Boron Nitride (h-BN) on Iron Foils.

Atomically thin two-dimensional (2D) ceramics, such as monolayer hexagonal boron nitride (h-BN), present potential for disruptive advances in separati...

Machine Learning Algorithms for Predicting Injurious Fall Risk Among Older Adults With Depression: A Prognostic Modeling Study.

BACKGROUND: Falls and related injuries (FRI) pose a large burden among older adults with depression. Proactively identifying individuals at high FRI r...

Thermally Stabilized Hydrogenation Dynamics in Single-Atom Alloys Enables Selective CO2 Electroreduction.

Electrochemical CO2 reduction to single-carbon products is central to sustainable fuels and chemicals, but under industrially relevant conditions elev...

Femoral Valgus Leads to Earlier Total Hip Arthroplasty Independent of Acetabular Coverage, While Varus Deformity Has a Protective Effect.

BACKGROUND: The presence of acetabular dysplasia or femoro-acetabular impingement increases the chance of an earlier total hip arthroplasty (THA). Sur...

Bridging the Hearing Divide: Policy Solutions for Aging Americans.

Hearing loss affects approximately two thirds of adults in the United States aged 70 years or older and frequently remains untreated despite its well-...

A Comparative, Multiobserver Analysis of Nodal Contouring Methods in Pelvic Online Cone Beam-Based Adaptive Radiation Therapy.

PURPOSE: In online cone beam computed tomography (CBCT)-based adaptive radiation therapy (ART), nodal recontouring ensures sufficient nodal coverage b...

Non-Destructive Quantification of Mycelial Biocomposite Growth Over Time.

Mycelial biocomposites are sustainable alternatives to nonbiodegradable materials in building and packaging. Efficient manufacturing requires accurate...

Artificial intelligence to automatically identify reverse shoulder arthroplasty implant brands on postoperative radiographs including uncertainty quantification.

BACKGROUND: Identifying the brand of reverse shoulder arthroplasty (rTSA) implanted is key in the postoperative evaluation of patients, a process that...

Machine learning-enabled assessment of risk of drug-induced QT prolongation at the time of prescribing.

BACKGROUND: Many medications are associated with long QTc. Current long QTc predictors have limited generalizability and/or modest performance. OBJECT...

Comorbid anxiety predicts lower odds of MDD improvement in a trial of smartphone-delivered interventions.

Comorbid anxiety disorders are common among patients with major depressive disorder (MDD), but their impact on outcomes of digital and smartphone-deli...

Distinct electroencephalogram microstate in patients with methamphetamine use disorder and obsessive-compulsive disorder.

BACKGROUND: Electroencephalogram (EEG) microstates reflect momentary localized brain activity and may indicate spontaneous fluctuations within large-s...