Domestic Violence

Systematic Review: Agentic AI in Neuroradiology: Technical Promise with Limited Clinical Evidence.

Agentic artificial intelligence systems featuring iterative reasoning, autonomous tool use, or multi-agent collaboration have been proposed as solutions to the limitations of large language models (LLMs) in neuroradiology. However, the extent of their implementation and clinical validation remains unclear. We systematically searched PubMed, Web of Science, and Scopus (January 2022-August 2025) for...

Rethinking Cardiopulmonary Bypass Management in The Digital Health Era.

Minimally invasive and robotic cardiac surgery have been developed to reduce surgical trauma, shorten recovery, and improve cosmetic and functional outcomes. However, these approaches often require longer cardiopulmonary bypass (CPB) and aortic cross-clamp times than conventional full sternotomy, and CPB duration remains an independent predictor of postoperative morbidity and mortality, particular...

The Role of Machine Learning in Talent Identification for Team Sports: A Systematic Review.

Talent identification (TID) in team sports is complex, influenced by biological, technical, psychological, and socio-cultural factors. Machine learnin...

Predicting Traumatic Brain Injury Post-Trauma Using Temporal Attention on Sleep-Wake Data.

BACKGROUND: Traumatic Brain Injury (TBI) is a major public health concern, and accurate classification is essential for effective treatment and improv...

Evaluation of trajectory analysis for disease risk assessment: a scoping review.

OBJECTIVES: Increasingly, structured longitudinal electronic health records (EHRs) are being harnessed to predict risk of having present but as yet un...

Impact of Artificial Intelligence for Detection of Precancerous Colonic Lesions in a Fecal Immunochemical Blood Test-Based Organized Screening Program in Italy: A Randomized Control Trial.

BACKGROUND: The fecal immunochemical test (FIT) is widely implemented as a first-line tool in organized colorectal cancer (CRC) screening programs, in...

Comparison of Digital Mammography Plus Full ABUS Review and Digital Mammography Plus Selective ABUS Review Guided by ABUS Artificial Intelligence-Computer-Aided Diagnosis for Breast Cancer Screening.

OBJECTIVE: To compare two breast cancer screening strategies, digital mammography (DM) plus radiologist-interpreted automated breast ultrasound (ABUS)...

Use of Automation Technologies and Data Mining in Speech Recognition for Autism.

INTRODUCTION: Early identification of autism spectrum disorder (ASD) is critical for improving long-term outcomes, and speech offers a noninvasive sou...

A Critical Look at the Challenges of Conducting de-Identified Military Surveys.

Survey research has long been a cornerstone of behavioral health and medical research. With the growth of Internet-based survey platforms, accelerated...

Interval cancer, sensitivity, and specificity comparing AI-supported mammography screening with standard double reading without AI in the MASAI study: a randomised, controlled, non-inferiority, single-blinded, population-based, screening-accuracy trial.

BACKGROUND: Evidence indicates that artificial intelligence (AI) can improve mammography screening by increasing cancer detection and reducing screen ...

Classification and discrimination of emotion dysregulation disorders using machine learning.

Attention-deficit/hyperactivity (ADHD), bipolar (BD) and borderline personality (BPD) disorders are severe psychiatric illnesses often presenting with...

Outcome Prediction in Pediatric Traumatic Brain Injury Utilizing Social Determinants of Health and Machine Learning Methods.

BACKGROUND AND PURPOSE: Considerable socioeconomic disparities exist among pediatric patients with traumatic brain injury (TBI). This study aims to an...

A unified framework for pre-screening and screening tools in oncology clinical trials.

Clinical trial enrollment in oncology remains limited by increasingly complex eligibility criteria, biomarker stratification, and fragmented clinical ...

AI-driven analysis of patient safety reports using large language models: an exploratory multiple methods study.

INTRODUCTION: Patient safety event reporting systems are widely used, yet organisations face challenges analysing the high volume of incident reports....

Artificial Intelligence-Based Medical Devices for Diabetic Retinopathy Screening in the European Union.

BACKGROUND: Diabetic retinopathy (DR) remains a leading cause of preventable blindness, yet screening programs across Europe face persistent workforce...

AI-enabled forecasting of prehospital transfusion needs in patients with trauma: a multinational, registry-based, retrospective, machine learning development and validation study.

BACKGROUND: Trauma is a major global cause of morbidity and mortality, with haemorrhage representing a leading preventable cause of early death. Timel...

From virtual screening to bench: A dual-validation framework for drug repurposing against PI3K.

Virtual screening has emerged as one of the most impactful in silico approaches for the identification of novel drug candidates, substantially reducin...

Highly efficient and durable Th1-biased protective immunity from a novel mRNA vaccine against RSV via AI-assisted antigen screening.

Respiratory syncytial virus (RSV) is a leading cause of severe respiratory illness, imposing a significant burden on global health and society. Here, ...

Deep learning-based survival outcomes of REBOA vs resuscitative thoracotomy in trauma: a nationwide cohort study in South Korea.

Patient Perspectives on AI-Powered Medical Robots in Breast and Prostate Cancer Care: Qualitative Study.

BACKGROUND: Nearly 250,000 cancer cases are diagnosed annually in Canada, with breast and prostate cancer representing 25% and 22% of new cases, respe...