Health Policy

A unified CPG-based and multi-agent control framework for low-cost quadruped robots.

Quadruped robots have gained significant attention due to their superior mobility on uneven and unstructured terrains, offering potential applications in inspection, search and rescue, and field exploration. However, achieving robust locomotion on low-cost platforms remains challenging because of constraints in stability, adaptability, sensing quality, and onboard computation. In this work, we pre...

OPTIBRAILLE - assistive device for visually impaired.

Objective: The objective of OptiBraille is to develop a low-cost, standalone assistive Braille character recognition system designed and built on a Raspberry Pi 4, enabling visually impaired users to access written Braille in real time. The system aims to provide real-time offline conversion of Braille to text without requiring a network connection or a high-cost device. It also aims to integrate ...

An Umbrella Review of Artificial Intelligence Applications in Mental Health Care.

BACKGROUND: Artificial intelligence (AI) is increasingly used in mental health care to address rising demand, workforce shortages and access barriers;...

ICU Open-Access Databases for Artificial Intelligence in Sepsis: Balancing Innovation With Data Quality Challenges.

OBJECTIVES: To evaluate the suitability of three major open-access ICU databases (Medical Information Mart for Intensive Care IV [MIMIC-IV], eICU Coll...

A Vision-Based Deep Learning Framework enables High-Accuracy Prediction of Geng Rice Eating Quality and Facilitates QTL Mapping.

Northeast China's Geng rice (Oryza sativa subsp. japonica) dominates the high-value rice markets in China due to its superior eating quality. However,...

Advancing Nursing Practice Through Simulation: Enhancing Competency, Quality and Patient Outcomes.

Simulation has become an essential strategy for advancing nursing practice, clinical competence, patient safety and healthcare system performance. As ...

Role of Large Language Model-Artificial Intelligence in Enhancing Communication Skills in Undergraduate Oral Healthcare Students.

INTRODUCTION: Artificial Intelligence (AI) is transforming dental education (DE) by advancing teaching strategies, clinical training, and patient care...

Proof of Concept of Large Language Models for Opioid Treatment Policy Surveillance: 97% Agreement With Subject Matter Experts.

OBJECTIVE: Policy surveillance typically involves detailed, time-consuming manual screening of policies for inclusion in a final dataset. This screeni...

Grading-labour cost analysis of AI-assisted versus human-only diabetic retinopathy screening in two Danish healthcare settings.

PURPOSE: Diabetic retinopathy (DR) screening is essential to prevent vision loss, yet rising diabetes prevalence threatens to outpace ophthalmology ca...

Corticosteroid Stewardship: Can it help us avoid the corticosteroid trap? Journal of Allergy and Clinical Immunology: In Practice.

With an almost 20-year experience with asthma biologics, it is now clear that a major impact of all available asthma biologics is the opportunity to r...

Autonomous Vascular Access Devices: Current Solutions and Future Challenges.

INTRODUCTION: Central venous cannulation is essential for life-saving interventions including resuscitation of critically ill patients, hemodynamic mo...

Local Deployment of Open-Weight Language Models in Dermatology: Viewpoint on Privacy, Equity, and Practical Implementation.

Generative AI, particularly large language models (LLMs), is reshaping clinical workflows in dermatology. However, cloud-based commercial models pose ...

AI and Patient Trust in Health Care.

Health care providers are among the most trusted professionals, and they are rapidly adapting to AI integration in medicine. Authors Hou et al reviewe...

Ethics of Autonomous AI Clinical Trials: Delphi Study.

BACKGROUND: Safe implementation of autonomous AI in medicine requires rigorous evaluation through clinical trials. The 7 guiding principles for ethica...

Predicting Cesarean Section Delivery in the United States Using Machine Learning: Population-Based Retrospective Study.

BACKGROUND: Cesarean section (C-section) is the most common surgical procedure in the United States, yet its use varies widely across regions and inst...

Interpretable assessment of human-perceived street-level urban greenery quality via panoptic segmented visual features.

Street-level urban greenery shapes pedestrians' environmental experiences and psychological well-being, making accurate assessments essential. However...

Pulp and Periapical Biology: The Foundations of Personalized Endodontics.

Endodontic care has traditionally focused on the management of local disease conditions and long-term function. As the burden of pulpal and periapical...

Systematic assessment of the medical utility of radiology and diagnostic Artificial Intelligence in fracture detection (SAMURAI-fracture): a protocol for a multicentre cluster-randomised controlled trial.

INTRODUCTION: Fracture misdiagnosis is a common diagnostic error in emergency departments (EDs) and minor injury units (MIUs), leading to poor patient...

A multi-platform comparison and machine learning associative analysis study on the information dissemination effect of short videos for cerebral hemorrhage: A cross-sectional study based on TikTok and Bilibili.

Cerebral hemorrhage is a critical public health issue marked by high incidence, disability, and mortality. In China, short-video platforms have become...

Multilayered Epistemic Disruption in AI-Driven Health Misinformation: Conceptual Framework and Viewpoint.

Generative AI has transformed the health information ecosystem by enabling scalable, sophisticated health misinformation production at near-zero margi...