Latest AI and machine learning research in prevention of medical errors for healthcare professionals.
INTRODUCTION: Despite growing enthusiasm for artificial intelligence (AI) implementation in orthopaedic care, patient attitudes toward AI adoption remain unexplored. This study assesses patient perceptions of AI integration in diagnosis, treatment, and patient communication in orthopaedic surgery. METHODS: A 28-question survey was administered to patients in hand surgery, orthopaedic oncology, and...
BACKGROUND/OBJECTIVES: This study aimed to predict body mass index (BMI) trajectories from childhood to early adulthood using explainable artificial intelligence, integrating adult BMI polygenic scores (PGS), maternal, early-life, and familial factors to identify key predictors of obesity risk and inform prevention strategies. SUBJECTS/METHODS: We analyzed longitudinal data from the Raine Study Ge...
Adolescent suicide remains a critical public health issue in the United States, with complex, interrelated risk and protective factors operating acros...
BACKGROUND: Clear discharge instructions are essential for safe emergency department (ED) care, yet creating patient-centered, health literate materia...
Epilepsy is a chronic neurological disorder causing recurrent seizures. Improved diagnosis and management, including high-resolution imaging, genetic ...
BACKGROUND: As patients increasingly turn to artificial intelligence (AI) chatbots for medical information, concerns remain regarding the accuracy, tr...
INTRODUCTION: Acute pulmonary embolism (APE) is characterized by high incidence and mortality, along with non-specific clinical manifestations. Its co...
OBJECTIVE: Comprehensive data and analyses on cardiovascular research could clarify recent research trends for the academic community and facilitate p...
BACKGROUND: The global nursing shortage, exacerbated by heavy workloads and high turnover rates associated with the COVID-19 pandemic, continues to un...
Computer informatics is integral to infection control, a role that will grow as surveillance and reporting become increasingly automated. Surveillance...
Joint actions among humans rely on the integration of multiple sensory modalities, most notably auditory and visual cues, which support explicit commu...
Mobile Ad Hoc Networks (MANETs) are highly dynamic and resource-constrained systems in which the resourceful maintenance of secure, energy-efficient, ...
This article provides a systematic review of the advances in the precise diagnosis and management of immune-related adverse events (irAEs) induced by ...
INTRODUCTION: Intimate partner violence (IPV), encompassing physical, sexual, emotional and economic abuse, remains a pervasive global health concern....
Deep brain stimulation (DBS) for treatment-resistant depression (TRD) is challenged by significant individual variability in efficacy and unclear neur...
Quantitative analysis of skeletal muscle (SM) and visceral adipose tissue (VAT) cross-sectional volumes at the third lumbar vertebral level (L3) on ab...
Patient-centred care (PCC) receives less attention in developing countries like China. The aim of our study was to qualitatively explore how doctors i...
BACKGROUND: Medical image fusion methods can provide more comprehensive and precise details about the internal structures of the human body by integra...
OBJECTIVES: This scoping review examined the current application of artificial intelligence (AI)/machine learning (ML) models on social media platform...
Oral diseases are among the most prevalent non-communicable diseases worldwide. They not only pose significant threats to oral health but also closely...