Prevention of medical errors

Integrative single-cell and spatial transcriptomics combined with machine learning to discover complement-associated biomarkers in temporal lobe epilepsy with hippocampal sclerosis.

Temporal lobe epilepsy with hippocampal sclerosis (TLE-HS) poses significant challenges in therapeutic management. While studies have demonstrated seizure-induced alterations in peripheral immune molecules, the complement system, a central component of immune function, remains insufficiently characterized at single-cell resolution and spatial distribution in TLE-HS. This study aimed to comprehensi...

Systemic Barriers to Curriculum Adaptation for Rapidly Changing Knowledge in Medical Education: Qualitative Study.

BACKGROUND: For this study, digitalization in medicine was used as an illustrative case to investigate how medical curricula respond to rapidly changing knowledge. Digitalization is transforming the way medicine and health care are provided and experienced. Experts have suggested various topics for medical curricula to keep pace with rapidly evolving knowledge. However, adapting these curricula re...

Clinical Study on the Prevention of High-Risk Pulmonary Nodule Progression With Yifei Sanjie Pill: Protocol for a Multicenter Randomized Controlled Trial.

BACKGROUND: High-risk subsolid pulmonary nodules, especially mixed ground-glass nodules, can represent precancerous or early-stage lung adenocarcinoma...

End-to-end deep learning for flight trajectory reconstruction from multi-station ADS-B measurements.

In the field of aviation safety, ADS-B is widely adopted as an active broadcast-based aviation surveillance system, enabling aircraft to broadcast the...

Factors Shaping Trust and Satisfaction With AI Medical Chatbots: A Mixed Methods Vignette Survey of Caregivers Seeking Guidance on Pediatric Infectious Diseases.

BACKGROUND: As artificial intelligence (AI) chatbots become an increasingly common source of quick medical guidance, it is important to understand whe...

User Perspectives on Conversational Agents for Preventive Alcohol Self-Help: Qualitative Exploratory Study.

BACKGROUND: Alcohol use remains a major public health concern, and although preventive alcohol self-help interventions aim to support individuals in n...

Nonverbal AI-Based Communication Robot for Staff in Disaster-Affected Care Facilities: Exploratory ABAB Intervention Study.

BACKGROUND: Medical and welfare facilities in the Noto region of Japan were severely affected by the 2024 Noto Peninsula earthquake and subsequent tor...

Lightweight dual-branch attention and dynamic resource-aware scheduling for edge-deployed visual communication in cultural creative industries.

The deployment of deep learning-based visual communication systems in cultural creative scenarios demands both high perceptual quality and real-time r...

Explainable Ensemble Learning With Stain Normalization and Deep Feature Extraction for Acute Lymphoblastic Leukaemia Classification.

Acute lymphoblastic leukaemia (ALL), a common form of cancer, remains a life-threatening condition that affects individuals worldwide, including both ...

Using natural language processing to support digital communication in adolescents and young adults with autism spectrum disorder.

BACKGROUND: Autism Spectrum Disorder (ASD) is characterized by social communication challenges, including difficulties interpreting figurative languag...

Digital infrastructures and data interoperability in radiology for prevention: from digital health to AI-enabled, quantitative imaging workflows.

Radiology is rapidly evolving from a service that produces images into a data-centric clinical platform that supports prevention, early diagnosis, and...

An autonomous YOLOv9-edge-to-cloud intelligence system for proactive honeybee mortality mitigation.

Honeybee mortality caused by environmental toxins and natural factors poses a significant threat to global apiculture and biodiversity. While manual h...

A unified machine learning framework for intelligent resource allocation toward 6G wireless communications.

For 6G wireless networks, efficient resource allocation is a significant problem, especially with the growing need for ultra-low latency, high-speed c...

Research on prediction method of hydrogen sulfide concentration in anaerobic pool of vegetable pickling industry based on multi-feature fusion.

Anaerobic pools in the vegetable pickling industry are typical confined spaces where hydrogen sulfide (H2S) readily accumulates, leading to frequent f...

[Chinese guideline for the diagnosis and treatment of hospital-acquired pneumonia and ventilator-associated pneumonia in adults (2026 edition): protocol].

This document serves as the protocol for the development of the Chinese Guideline for the Diagnosis and Treatment of Hospital-Acquired Pneumonia and V...

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 with Systemic Lupus Erythematosus (SLE). Although S...

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 cardiovascular conditions with similar clinical presentations b...

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

Neuro-ophthalmic disorders feature complex etiology. Certain ocular manifestations may hint at severe neurological diseases. Current clinical practice...

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) facing rising workloads driven by workforce shortages, ...

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 relationship appears more complex in neurodivergent p...