Health Policy

The role of emerging technology in expanding regional anesthesia education and patient access.

PURPOSE OF REVIEW: The purpose of this article is to identify promising technologies that can enhance core regional anesthesia training, competence, and global implementation, which will lead to both expansion in patient access and improvements in perioperative outcomes. RECENT FINDINGS: Artificial intelligence software embedded in ultrasound equipment can now generate real-time anatomical overlay...

Barriers, Facilitators, and Intention to Use AI for Breast Cancer Diagnosis: Mixed Methods Study Among Austrian Physicians With and Without AI Experience.

BACKGROUND: Artificial intelligence (AI) has demonstrated strong potential in breast cancer diagnostics by improving accuracy, efficiency, and clinical workflow. However, adoption among physicians remains variable. Existing research often overlooks the contextual and experiential differences between clinicians who use AI and those who do not. A comprehensive understanding of barriers and facilitat...

The Implementation of a Business Process Model and Notation for Modeling Patient Health Care Trajectories: Systematic Review.

BACKGROUND: Health care systems are increasingly confronted with the challenge of managing complex clinical processes. One proposed solution is a pati...

Age-stratified risk profiles for emergency colorectal cancer resection: A machine-learning analysis.

BACKGROUND: Emergency colorectal cancer resection (ECCR) is associated with worse perioperative and oncologic outcomes than elective surgery. As the i...

Artificial intelligence in traumatic stress treatment: The TRUST framework for ethical development, clinical applications, and research advancement.

Posttraumatic stress disorder (PTSD) and depression are common diagnoses following traumatic events, with several available evidence-based interventio...

Updating CMV protocols in lung transplant patients: a single-center case study modeling use of generative AI for antimicrobial stewardship protocol development and economic impact analysis.

OBJECTIVE: Antimicrobial Stewardship Programs (ASPs) need healthcare economic analyses to support and inform ASP strategies. This work aimed to determ...

Impact of middle meningeal artery embolization on neurological complications and discharge outcomes in chronic subdural hematoma: A machine learning-based comparative study.

INTRODUCTION: Chronic subdural hematoma (cSDH) predominantly affects older adults, often those with prior head trauma, anticoagulation therapy, or chr...

Review Topic: Don't Cancer Doctors Offer Good-Quality Care?

We offer the perspectives of two veterans on the last quarter century of quality improvement efforts in oncology care. We believe that our colleagues ...

Auricular Point Acupressure Self-Management (APA-SM) program for chronic musculoskeletal pain among rural populations: a protocol for a pragmatic, randomized controlled trial.

INTRODUCTION: Chronic musculoskeletal pain (CMP) is a leading cause of incurred personal healthcare costs and disability in the USA. It disproportiona...

Reinforcement learning for policymaking in epidemic control: A scoping review.

BACKGROUND: Managing an epidemic demands policies that respond at the pace of the outbreak. Conventional rule‑based interventions struggle to keep up,...

Smart detection of juice adulteration: An approach based on ion mobility spectrometry and machine learning.

BACKGROUND: Fruit juice quality is regulated by European Union legislation; however, adulteration by adding cheaper alternatives, such as white grape ...

Technology-assisted visceral surgery: a model-based approach for quantifying translation and accessibility across populations and geographies.

INTRODUCTION: Technological innovation is rapidly transforming surgical care, yet disparities in access and adoption persist. This study introduces a ...

Mitigating hallucinations in healthcare AI: a systematic review of evidence-based strategies.

BACKGROUND: Large language models (LLMs) are increasingly integrated into healthcare applications, but their tendency to generate hallucinations-factu...

YOLO-geochemical integration for real-time aeolian dust monitoring: a critical review of signatures, health risks, and policy implications.

Aeolian dust is one of the most pervasive natural air pollutants, strongly influencing atmospheric chemistry, visibility, climate feedback, and human ...

Performance Analysis of Machine Learning Techniques for Voice Spoofing Detection.

Voice-based authentication is widely used today but remains vulnerable to spoofing attacks like text-to-speech and voice conversion, threatening priva...

Agentic AI in global health equity for high altitude populations.

Successfully adapting to life in the highest altitudes ("Roof of the world") is a heritage of evolutionary adaptation for humans. With rising interest...

Data driven water quality assessment using machine learning and synthetic data generation.

Providing fresh and clean water to all is the objective of Sustainable Development Goal 6. Consuming clean water improves health for all living beings...

An automated end-to-end pipeline for the management, de-identification, and distribution of whole-slide images using DICOM: An institutional implementation.

Medical imaging data are an essential resource for research and teaching; however, regulations such as the Health Insurance Portability and Accountabi...

Improving Radiology Report Error Detection Using a Multipass Large Language Model: Framework Development and Validation.

BACKGROUND: Large language model (LLM) proofreaders for radiology reports generate many false positives (FPs) due to the low prevalence of errors. OBJ...

Value based healthcare estimation values for benchmarking among Spanish Hospitals for four health problems.

INTRODUCTION: Describe a methodological proposal and value-based ratio calculations based in real-world hospital-care episodes in Spain, serving as co...