Latest AI and machine learning research in health policy for healthcare professionals.
Buprenorphine retention is crucial for effective treatment of opioid use disorder (OUD), yet disparities in treatment discontinuation persist. This study aims to identify and quantify disparities in buprenorphine treatment retention using a machine learning framework adapted from Virtual Twins approach focusing on disparities related to sex, age, insurance type, geographic region, mental health st...
INTRODUCTION: Artificial intelligence (AI) is crucial in the healthcare sector. It improves patient outcomes and service efficiency. Using machine learning, natural language processing, and computer vision, it helps clinicians personalize treatments. In addition, AI optimizes resources and addresses cost challenges. MATERIALS AND METHODS: A cross-sectional study was conducted to assess the knowled...
PURPOSE: Digital and AI-supported psychosocial interventions are increasingly implemented to address psychological distress among women with breast ca...
The prescription is a critical bridge between medical diagnosis and therapeutic intervention, embodying a complex decision that balances medical evide...
BACKGROUND: Vascular access (VA) for hemodialysis is achieved through arteriovenous fistulas (AVF), arteriovenous grafts (AVG), or central venous acce...
BACKGROUND: Parent management training (PMT) is an evidence-based intervention for children with disruptive behavior problems. However, access to care...
BACKGROUND: Autism spectrum disorder (ASD) is often underdiagnosed in low- and middle-income countries due to limited specialist access, sociocultural...
Natural language processing has enabled rapid progress in legal artificial intelligence, but automated review of conflicts between superior and subord...
BACKGROUND: Resective epilepsy surgery has been proven to reduce the number of seizures and improve quality of life in patients with drug-resistant ep...
Radiology is increasingly defined by interdependence: imaging value is created through tightly coupled relationships among radiologists, technologists...
PURPOSE OF REVIEW: This review provides a comprehensive update on advancements and evolving paradigms in cleft-related facial skeletal surgery. It eva...
OBJECTIVE: This Spotlight article explores opportunities for the use of generative artificial intelligence (AI) to support real-world eating disorders...
Centralizing valuable community data and resources into a user-friendly interface and accessible repository has become essential for agricultural scie...
UNLABELLED: Artificial intelligence (AI) tools such as ChatGPT are rapidly being adopted in medical education, yet evidence regarding their impact on ...
Multi-Layer Perceptron Mixer (MLP-Mixer) has replaced self-attention layers with simple spatial MLP and achieved promising performances across visual ...
OBJECTIVES: Motion and limited compliance compromise diagnostic MR image quality, particularly in pediatric patients who frequently require sedation. ...
BACKGROUND: Artificial intelligence (AI) technologies continue to transform how we research human disease, diagnose and treat patients, and operate ho...
OBJECTIVES: This study aimed to develop and implement robotic process automation (RPA) for identifying missing codes during insurance claim post-revie...
BACKGROUND: Health disparities such as morbidity and mortality among childbearing women remain high in the United States, especially among those with ...
Population aging worldwide has intensified the need to understand how mental health in later life is shaped by both cultural norms and structural syst...