Domestic Violence

Examining attention- deficit/ hyperactivity disorder in endurance and ultra-endurance runners.

BACKGROUND: Attention-deficit hyperactivity disorder (ADHD) is a multifactorial and complex neurodevelopmental disorder. Prevalence of ADHD in the general adult population is around 3.1 %, with little data available in athlete population suggesting rates of between 7 %-8 %. No data are available for endurance and ultra-endurance runners. METHODS: Cross-sectional survey study in endurance (≥21.1 km...

Is chronic low back pain related to sleep disturbances? A self-organizing maps for unsupervised machine learning-based patient phenotyping.

BACKGROUND CONTEXT: Chronic low back pain (CLBP) is a multifactorial condition and a leading cause of disability worldwide. Among the various contributors to symptom persistence, sleep quality has emerged as a critical yet underexplored factor. Evidence suggests a bidirectional relationship between poor sleep and pain intensity, disability, and psychological distress in individuals with CLBP. PURP...

SMARTDock: A Toolkit for the Automated Development of Target-Specific Scoring Functions Using Bioactivity Data.

Molecular docking has become an essential tool in the early stages of structure-based drug discovery, enabling rapid virtual screening of large compou...

Deep Learning for Ultrasound-Based Auxiliary Diagnosis of Emergency Ascites.

OBJECTIVE: The Focused Assessment with Sonography for Trauma (FAST) enables rapid detection of free intraperitoneal fluid, facilitating timely managem...

A CT-based multimodal fusion model for predicting outcomes in blunt chest trauma: A multicenter study.

BACKGROUND: This study aimed to develop a multimodal predictive model that integrates clinical variables, radiomic features (RFs), and deep learning-b...

DNA-Encoded Chemical Library Screening with Target Titration Analysis: DELTA.

DNA-encoded chemical libraries (DELs) enable the highly efficient screening of billions of small molecules for binding to a target of interest and pro...

Evaluating the efficacy and diagnostic reliability of computer vision artificial intelligence algorithm in automating anatomical classification for second-trimester fetal anomaly ultrasound scans: A prospective cohort study.

OBJECTIVE: To evaluate the diagnostic accuracy and workflow efficiency of BioticsAI-anatomyUNet-0.1-2022 software in identifying 18 standard fetal ana...

Automated detection and classification of dental trauma in periapical radiographs using deep learning: a study based on the Andreasen classification.

OBJECTIVE: The aim of this study was to evaluate the performance of a deep learning (DL) model in automatically identifying dental trauma types on sel...

Integrating AI-ECG and point-of-care cardiac ultrasound for screening structural heart disease: A proof-of-concept study.

BACKGROUND: Early structural heart disease (SHD) detection is crucial for improving prognostic outcomes, but widely accessible screening methods are l...

Game-Changing Advances in Infant Hip Dysplasia Evaluation With Ultrasound.

Developmental dysplasia of the hip (DDH) causes preventable morbidity when diagnosis is delayed. We review advances that address screening gaps: 3-dim...

Development and validation of machine learning models to predict PTSD at multiple time points in hospitalized trauma patients.

BACKGROUND: Posttraumatic stress disorder (PTSD) is a severe trauma-related mental disorder with high global burden. Early identification remains chal...

Improving Acute Care Surgery with Artificial Intelligence: A Practical Review.

Artificial intelligence (AI) and machine learning are poised to transform trauma care across the entire continuum, from prehospital triage to postoper...

Biotypes of deeply phenotyped depressed patients reflect signatures of adverse childhood experience and depressive cognitive biases.

BACKGROUND: Negative Cognitive Styles (NCS) are key features of depression contributing to severe clinical outcomes by sustaining negative affect. How...

SOS Dental Trauma-An Artificial Intelligence Chatbot via WhatsApp for Guiding Patients After Dental Trauma.

BACKGROUND: Traumatic dental injuries (TDIs) are highly prevalent worldwide and require immediate and appropriate management to ensure favorable outco...

Can Artificial Intelligence and Machine Learning help us improve motor vehicle crash trauma triage?

Pediatric asthma management via integration of a remote spirometry device into an EHR-based artificial intelligence-powered clinical decision support system: A feasibility pragmatic clinical trial.

BACKGROUND: Asthma is the most common chronic disease in children. Suboptimal asthma control is prevalent and causes significant health care costs. El...

Ensemble machine learning for early mortality risk stratification in septic orthopedic trauma: an international cohort study.

BACKGROUND: Sepsis represents a life-threatening complication in severe orthopedic trauma, significantly increasing short-term mortality risk. Despite...

Methodological Variations in 24-Hour Urine Collection for Nephrolithiasis: A Systematic Review of Reporting Practices and Clinical Implications.

BACKGROUND: A 24-hour urine collection is central to the metabolic evaluation and prevention of nephrolithiasis. Despite its widespread use, methodolo...

Integrated metabolomics and transcriptomics reveal biomarkers for detecting fentanyl analog abuse through machine learning.

Fentanyl analogs' (FA) rampant proliferation causes widespread abuse, fatalities, and severe social issues globally. Their high toxicity, rapid metabo...

Performance of large language models in addressing patient queries on colorectal cancer screening in different languages: An international study across 28 countries.

BACKGROUND: Colorectal cancer (CRC) screening reduces incidence and mortality, yet patient adherence remains suboptimal. Large language models may imp...