Prevention of medical errors

Barriers and Facilitators to Physician-Patient Communication in Chinese Tertiary Hospitals From the Perspectives of Hospital-Based Physicians and Patient Relations Coordinators: Qualitative Study.

BACKGROUND: Effective physician-patient communication is essential for building trust and sustaining positive relationships, yet becomes increasingly challenging in China's tertiary hospitals, where physicians face heavy workloads. OBJECTIVE: This study explored the barriers and facilitators of physician-patient communication by synthesizing perspectives from Chinese hospital-based physicians and ...

Machine Learning Aided Kinematic Profiling of Reaching Movements Separates Spinocerebellar Ataxia type 12 and Essential Tremor.

Upper limb postural tremor is common in both Spinocerebellar Ataxia type 12 (SCA12) and Essential Tremor (ET). In the early stages, their clinical presentation can be similar, leading to potential misdiagnosis. This study aimed to develop and evaluate a low-cost device and methods to quantify 2D reaching kinematics objectively, with the goal of improving differentiation between ET and SCA12 using ...

Infections in Burn Patients: Pathophysiology, Prevention, and Contemporary Therapeutic Strategies in the Era of Antimicrobial Resistance.

Burn injuries are associated with significant morbidity and mortality, largely driven by infectious complications. Disruption of the skin barrier, sys...

Deep neural architecture empowered by explainable artificial intelligence for accurate and early diagnosis of gynaecological cancer using medical images.

Early analysis is a necessity for the more effective treatment of cancers. In gynaecological cancers, like endometrial, ovarian, and cervical cancers,...

Psychological Risk Assessment in Plastic Surgery via a DeepSeek Large Language Model: A Retrospective Cohort Study.

BACKGROUND: Preoperative psychological risk assessment is critical yet challenging in plastic surgery because of high rates of body dysmorphic disorde...

Prevention is all you need: generative artificial intelligence for infection prevention and healthcare epidemiology.

PURPOSE OF REVIEW: Generative artificial intelligence, particularly large language models, has emerged as a promising tool for processing the vast amo...

Peripheral and central immune features in insomnia: Integrative bulk and single-cell transcriptomic analyses reveal core hub genes and candidate compounds.

Insomnia is closely associated with immune dysregulation, yet the overall pattern of peripheral-central immune disequilibrium and its underlying molec...

Identifying the relationship between exosome genes and breast cancer risk using bioinformatics and machine learning methods.

BACKGROUND: Breast cancer (BC) is the most prevalent cancer among women globally, with a high mortality rate. The treatment and prevention of this dis...

Pre-implementation safety evaluation of an AI decision-support system for surgical antimicrobial prophylaxis.

BACKGROUND: Large language models (LLMs) show potential to support antimicrobial prescribing but require simulation-based, institution-specific safety...

Use and Efficacy of Conversational AI in Health Management: An Integrative Review.

Conversational artificial intelligence (AI) is increasingly being integrated into the field of health communication. Existing research largely evaluat...

Assessment of OpenEvidence Responses to American Academy of Orthopaedic Surgeons Clinical Practice Guidelines for Anterior Cruciate Ligament Reconstruction.

INTRODUCTION/OBJECTIVES: General-purpose large language models (LLMs) have substantial limitations, including fabricated references and inconsistent c...

Listening forward: emerging roles of bioacoustics in ecology, evolution, and conservation.

Bioacoustics is increasingly shifting from a mostly descriptive pursuit to one that can anticipate ecological change. Recent innovations-from autonomo...

AquaAI: development and internal validation of a Danish transformer-based model to identify drowning and aquatic incidents in prehospital medical records.

BACKGROUND: Effective prevention of drowning and aquatic incidents requires timely and accurate surveillance supported by high-quality validated data....

Stroke detection in medical emergency calls: a retrospective analysis and exploratory evaluation of an AI decision support model.

BACKGROUND: Timely identification of acute stroke during medical emergency calls is critical for optimizing patient outcomes. We aimed to (i) characte...

Role-based evaluation of artificial intelligence chatbot responses in orthodontic emergency scenarios: accuracy, readability, understandability, and patient-oriented communication.

OBJECTIVES: This study investigated role-based differences in the accuracy, readability, understandability, and internal consistency of chatbot respon...

Interpretable Machine Learning to Predict Anxiety or Depression in Acute Ischemic Stroke after IV Thrombolysis: A Retrospective Cohort Study.

BACKGROUND: Acute Ischemic Stroke (AIS) represents a prevalent cerebrovascular condition characterized by significant levels of disability and mortali...

Artificial Intelligence for Enhancing Emotion Expression in Augmentative and Alternative Communication Systems: A Preliminary Study Including Children Both With and Without Autism.

PURPOSE: Artificial intelligence is increasingly being explored in augmentative and alternative communication (AAC) to support personalized and respon...

AI-based virtual patient training for clinical communication skills in dental undergraduates: A randomized controlled mixed methods study.

INTRODUCTION: Effective clinical communication is a core competency in dental education, yet traditional teaching methods often fail to provide authen...

The emerging role of coronary computed tomography for prevention of cardiovascular disease in asymptomatic individuals.

The persistent global rise in atherosclerotic cardiovascular disease (ASCVD) challenges the effectiveness of current risk factor-based algorithms in p...

A quarter-century of progress: innovations in lipid medicine that transformed cardiovascular prevention.

This TimeCapsule reviews the major transformations in lipid metabolism and cardiovascular disease prevention during the first quarter of the 21st cent...