Prevention of medical errors

Improvement of an autoencoder network for jointly information transfer by RIS and transmitter.

This paper proposes an autoencoder (AE)-based deep learning (DL) framework for reconfigurable intelligent surface (RIS)-assisted wireless communication systems. In this framework, RIS transmits information through its passive reflecting elements. In wireless networks, RIS reflects incident signals toward the receiver by adjusting the phase shifts of their passive elements. They also need to suppor...

Study on the construction and verification of intraoperative pressure injury risk prediction model for children undergoing cardiac surgery.

BACKGROUND: This study applied nomogram to develop an intraoperative acquired pressure injury (IAPI) risk prediction model for pediatric cardiac surgery patients, validated its predictive performance, and aims to provide evidence-based guidance for IAPI prevention in pediatric cardiac surgery. METHODS: A retrospective analysis of clinical surgical data from 1,179 pediatric patients undergoing card...

Miscorrection in coronal plane osteotomies around the knee-Current concepts.

This review seeks to clarify and enhance our current understanding around miscorrection following osteotomy surgery around the knee. Whilst many of th...

A bibliometric analysis of global research trends and emerging hotspots on suicide and depression among children and adolescents.

BACKGROUND: Suicide and depression among children and adolescents represent critical global public health challenges. Despite a rapidly growing body o...

The role of artificial intelligence in precision medicine for breast cancer.

Breast cancer (BC) ranks among the most common malignant tumors affecting women globally. The essence of precision medicine (PM) lies in "delivering t...

Portraying Ethical Risks of Medical AI: Mixed Methods Study From Connotation Definition to a Survey on Physicians' Cognition.

BACKGROUND: Ethical risks of medical artificial intelligence (AI) are a global concern, but existing understanding remains fragmented without an integ...

Artificial Intelligence and the National Diabetes Prevention Program: Modernizing Public Health Infrastructure to Scale Prevention Efforts.

Performance of AI in Predicting the Progression of Gestational Diabetes to Type 2 Diabetes: Systematic Review and Meta-Analysis.

BACKGROUND: Gestational diabetes mellitus (GDM) significantly increases the risk of developing type 2 diabetes mellitus (T2DM) post partum, with up to...

Fostering Digital Resilience Among Youth Who Experienced Cyberbullying: Design Thinking Approach.

BACKGROUND: Cyberbullying affects approximately one-third of Thai secondary school students and has been linked to adverse emotional outcomes and ment...

Infection prevention and control measures for Ebola and Marburg disease: a series of rapid reviews.

OBJECTIVES: An evidence synthesis informed the 2023 WHO infection prevention and control (IPC) guideline for Ebola disease (EBOD) and Marburg disease ...

A vision-based sign language recognition & voice conversion system for inclusive communication.

Major communication barriers are often encountered among deaf and/or speech-impaired people, which is particularly serious during emergencies. This st...

Heatstroke Over the Past Decade: Risk Factors, Long-Term Health Consequences, and Preventive Measures.

BACKGROUND: Heatstroke (HS) encompasses acute multi-organ dysfunction and increases susceptibility to subsequent heat-related conditions, making timel...

Improving Delirium Prediction in Surgery: Enhanced Machine Learning Models vs. Traditional Risk Scores.

BACKGROUND: Postoperative delirium (POD) is a prevalent complication among older surgical patients; however, accurately predicting its occurrence usin...

Creative problem-solving and substance abuse prevention following an AI-enhanced life skills intervention in At-risk adolescents: A quasi-experimental study.

Adolescent substance use remains a critical public health concern, necessitating interventions that strengthen core life skills. Emerging evidence sug...

Implementation determinants of a planned machine learning-enabled surgical scheduling system in a high-volume orthopaedic centre in Canada: qualitative findings.

OBJECTIVES: Elective non-emergent surgical wait times have increased across countries such as Canada, straining operating room (OR) resources and affe...

Multiscale systems modelling of communication networks in brain metastasis.

Brain metastasis remains a major clinical challenge because intracranial progression and therapeutic resistance arise not only from tumour-intrinsic p...

Tutorial: Using Random Forest Analysis to Identify Auxiliary Variables of Missing Data.

Missing data is a pervasive problem in research; prevention science is particularly vulnerable due to the study designs used and types of data collect...

Life's essential 8 and its role in cardiovascular health: evolution, evidence, and future directions.

INTRODUCTION: Cardiovascular disease (CVD) remains the leading global cause of mortality. To advance prevention, the American Heart Association introd...

Constructing an Artificial Intelligence-Driven Multilingual Medical Health Education Chatbot with Domain-Specific Medical Knowledge.

Language barriers remain a critical challenge in health care delivery, particularly for migrant and multicultural populations. This study presents the...

Patient Perceptions of Artificial Intelligence-Supported Shared Decision-Making in UK Primary Care for Multiple Long-Term Conditions: Qualitative Study.

BACKGROUND: The prevalence of multiple long-term conditions (MLTCs) is increasing globally, leading to complex health care needs and polypharmacy. Sha...