Domestic Violence

Applying language models for suicide prevention: evaluating news article adherence to WHO reporting guidelines.

The responsible reporting of suicide in media is crucial for public health, as irresponsible coverag...

Development of prediction models for screening depression and anxiety using smartphone and wearable-based digital phenotyping: protocol for the Smartphone and Wearable Assessment for Real-Time Screening of Depression and Anxiety (SWARTS-DA) observational study in Korea.

INTRODUCTION: Depression and anxiety are highly prevalent mental health conditions that significantl...

Emergency radiology: roadmap for radiology departments.

Emergency radiology has evolved into a significant subspecialty over the past 2 decades, facing uniq...

Graph_RG: Dominating CASP16's Small Molecule Affinity Prediction Subcategory-A Pose-Free Framework for Billion-Scale Virtual Screening.

Protein-ligand interaction prediction is pivotal in early-stage drug development, enabling large-sca...

Predicting Early-Onset Colorectal Cancer in Individuals Below Screening Age Using Machine Learning and Real-World Data: Case Control Study.

BACKGROUND: Colorectal cancer is now the leading cause of cancer-related deaths among young American...

The Rapid Online Cognitive Assessment for the Detection of Neurocognitive Disorder: Open-Label Study.

BACKGROUND: The rising prevalence of dementia necessitates a scalable solution to cognitive screenin...

It is Time to Realize the Promise of the Digital Mental Health Transformation: Application for Population Mental Health.

The past 25 years have seen the explosion of digital health care-from 1s and 0s initially serving mo...

Innovative technologies and their clinical prospects for early lung cancer screening.

BACKGROUND: Lung cancer remains the leading cause of cancer-related mortality worldwide, due to lack...

Humans versus machine learning models: improving the outcome of trauma patients.

Improved Prediction of Drug-Protein Interactions through Physics-Based Few-Shot Learning.

Accurate prediction of drug-protein interactions is crucial for drug discovery. Due to the bottlenec...

Artificial Intelligence-Based Hospital Malnutrition Screening: Validation of a Novel Machine Learning Model.

BACKGROUND: Despite its morbidity, mortality, and financial burden, in-hospital malnutrition remains...

Artificial Intelligence for Chronic Disease Screening in Latin America and the Caribbean: The Diagnostic Potential of Digital Health.

The Use of Artificial Intelligence in Residency Application Evaluation-A Scoping Review.

Several residency programs have begun investigating artificial intelligence (AI) methods to facilit...

Barriers and Enablers Influencing the Implementation of Artificial Intelligence for Diabetic Retinopathy Screening in Clinical Practice: A Scoping Review.

BACKGROUND: Diabetic retinopathy is a leading cause of preventable blindness worldwide. Meanwhile, a...

Proof of concept of an Automated Battlefield Trauma System for large-scale combat operations.

BACKGROUND: Large-scale combat operations (LSCO) generate high casualty volumes, challenging battlef...

Towards Artificial Intelligence-based Decision Support for Large-scale Screening for Atrial Fibrillation.

Atrial fibrillation is a prevalent cardiac arrhythmia, significantly increasing the risk of stroke, ...

Pediatric Maxillofacial Trauma: Machine Learning Based Predictive Modeling to Identify Trauma Patterns.

AIM: To analyze the characteristics of pediatric facial trauma and predict factors influencing them ...

Artificial Intelligence in Surgical Outcomes Reporting: The next best thing, or just Artificially Intelligent GIGO?

Comparison of machine learning and human prediction to identify trauma patients in need of hemorrhage control resuscitation (ShockMatrix study): a prospective observational study.

BACKGROUND: Machine learning could improve the timely identification of trauma patients in need of h...

Left ventricular systolic dysfunction screening in muscular dystrophies using deep learning-based electrocardiogram interpretation.

BACKGROUND: Routine echocardiographic monitoring is recommended in muscular dystrophy patients to de...

Current and emerging strategies for subcutaneous delivery of high-concentration and high-dose antibody therapeutics.

Subcutaneous (SC) administration of monoclonal antibodies (mAbs) offers patient-centric benefits suc...