Prevention of medical errors

Disparities in severe infection risk associated with systemic lupus erythematosus: evidence from a causal forest analysis.

OBJECTIVES: Severe infections are a primary cause of morbidity and premature mortality in patients w...

Deep learning-based multimodal fusion of vibrational spectroscopy and clinical data for aortic dissection diagnosis and prognosis.

BACKGROUND: Aortic dissection and myocardial infarction are two life-threatening acute cardiovascula...

[Artificial intelligence in neuro-ophthalmology: prospects, challenges and countermeasures].

Neuro-ophthalmic disorders feature complex etiology. Certain ocular manifestations may hint at sever...

Exploring the Role of Large Language Models in Primary Care: Qualitative Study of Physicians in the United States and the Netherlands.

BACKGROUND: Primary care is becoming increasingly complex, with primary care physicians (PCPs) facin...

Transdiagnostic behavioral and sociodemographic influences on the cognitive-adaptive functioning gap in neurodivergent children.

Adaptive functioning typically aligns with cognitive ability in the general population, but this rel...

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 intell...

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

This review seeks to clarify and enhance our current understanding around miscorrection following os...

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 h...

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...

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 ...

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

BACKGROUND: Cyberbullying affects approximately one-third of Thai secondary school students and has ...

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) guide...

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 i...

Application and prospect of bioinformatics in the prevention and treatment of ischemic stroke: A comprehensive narrative review.

Ischemic stroke (IS) is a leading cause of death and disability globally, with current clinical mana...

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 t...

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; ...

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 ...

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...

Multiscale systems modelling of communication networks in brain metastasis.

Brain metastasis remains a major clinical challenge because intracranial progression and therapeutic...

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 t...