Domestic Violence

Transforming Orthopaedic Trauma Care: Forecasting Operating Room Demand by Harnessing Time-Series Analysis and Machine Learning.

BACKGROUND: Efficient allocation of operating room (OR) time is critical in trauma centers, where unpredictable volumes lead to wasted resources. Forecasting trauma volume is challenging, but integrating exogenous factors with historical patterns may enable proactive scheduling tailored to daily operative demand. This study develops time-series and machine learning models to predict daily orthopae...

Artificial intelligence in spine care: A scoping review of diagnostic applications.

BACKGROUND: Artificial intelligence (AI) is increasingly used to enhance diagnostic accuracy, automate image interpretation, and support clinical decision-making. In the field of spine care, applications include MRI and CT-based detection of lumbar disc degeneration, spinal stenosis, vertebral fractures, and axial spondyloarthritis, as well as emerging symptom-based and multimodal diagnostic tools...

Development and external validation of a machine learning model for predicting tigecycline-associated drug-induced liver injury.

Tigecycline (TGC) is widely used to treat severe multidrug-resistant infections but can cause drug-induced liver injury. Existing prediction studies f...

Authorship, Disclosures, and Conflicts of Interest in Papers Related to the Use of Artificial Intelligence.

As artificial intelligence (AI), particularly generative AI, is being actively introduced and utilized in medical research and manuscript writing, new...

Comparative Assessment of Performance of Domain-Specific and Primed Versus Non-Primed Artificial Intelligence Chatbots for Clinical Decision-Making in Injuries to the Primary Dentition: An Exploratory Pilot Study.

BACKGROUND/AIMS: To compare the performance of a domain-specific dental trauma chatbot with general-purpose artificial intelligence chatbots under pri...

Mapping Machine Learning-Driven Cybersecurity Solutions in Health Care: Scoping Literature Review.

BACKGROUND: Health care systems face escalating cyberattacks, including the UK Synnovis ransomware attack, which halted pathology services for 14 week...

miR-124 Ameliorates Spatial Memory Deficits in Rats Exposed to Single-Prolonged Stress by Downregulating IQGAP1 to Regulate Actin-Binding Proteins and Apoptosis in Hippocampal Neurons.

Post-traumatic stress disorder (PTSD) is a highly prevalent, trauma-induced psychiatric condition characterized by persistent cognitive-affective dysf...

Unveiling the Structural Determinants of PFAS Toxicity: A Graph Neural Network and Interpretability Analysis.

The rapid proliferation of per- and polyfluoroalkyl substances (PFASs) necessitates high-throughput tools to assess safety and prevent regrettable sub...

Systematic Review of AI-Driven Applications for Screening Nasopharyngeal Carcinoma Using MRI.

BACKGROUND: Nasopharyngeal carcinoma (NPC) can be detected early on MRI, but adoption for screening is limited by a shortage of experienced specialist...

Measures matter: assessing childhood maltreatment and emotion dysregulation in a transdiagnostic sample.

Background: Childhood maltreatment (CM) is a major risk factor for different mental disorders and transdiagnostic mechanisms, including emotion dysreg...

AI-augmented MALDI-TOF MS screening reveals a high burden of undiagnosed monoclonal gammopathy in adult patients.

Monoclonal gammopathy of undetermined significance is a common precursor of multiple myeloma, yet its prevalence and clinical distribution remain poor...

Global burden of traumatic brain injury from 1990 to 2021 and projections to 2050: A GBD 2021-based study using interpretable machine learning.

Traumatic brain injury (TBI) is a major cause of disability and socioeconomic burden worldwide. Using updated Global Burden of Disease Study 2021 esti...

Explainable AI in Male Infertility: A Clinical Roadmap for Shared Decision-Making.

Artificial intelligence (AI) is increasingly entering male infertility care through semen image analysis, sperm-selection support, prediction of sperm...

Ultra-widefield color fundus images and artificial intelligence for diagnosis of diabetic retinopathy: A systematic review and meta-analysis.

PURPOSE: Ultra-widefield (UWF) fundus cameras capture a larger retinal area without pupil dilation. We summarized evidence and diagnostic performance ...

R-R Interval Histogram-Based Deep Learning for 3-Class Atrial Fibrillation Screening in Garment-Type Wearable Holter Electrocardiogram Monitoring: Algorithm Development and Validation Study.

BACKGROUND: Long-term garment-type wearable Holter electrocardiographic (ECG) monitoring is frequently affected by noise contamination, which complica...

AI and Chatbot-Supported Interventions for Physical Activity and Obesity-Related Lifestyle Behaviors: Scoping Review With Attention to Family Involvement.

BACKGROUND: AI-enabled chatbots and related conversational systems can facilitate human-computer interaction through natural language, personalization...

Large Language Models for Endodontic Symptom Assessment and Treatment Planning Using Image-Free Clinical Records: Comparative Evaluation Study.

BACKGROUND: Accurate assessment of pulpal status is essential for achieving successful endodontic outcomes. However, direct evaluation remains inheren...

Beyond Thresholds: Can Machine Learning Improve Trauma Field Triage?

BackgroundAccurate triage of trauma patients by Emergency Medical Services (EMS) is essential for optimal outcomes and resource allocation. The 2021 N...

Evaluating performance and potential clinical benefit of the Swedish On Scene Injury Severity Prediction (OSISP) model for prehospital field triage on Norwegian trauma data.

BACKGROUND: Rule-based field triage protocols used by Emergency Medicine Service (EMS) personnel for assessment and prioritization of trauma patients ...

Large language models as a screening tool for the qualification of patients with Parkinson's disease for device-aided therapies.

Motor complications become increasingly prominent as Parkinson's disease (PD) progresses. Although device-aided therapies (DAT) improve symptoms contr...