Latest AI and machine learning research in domestic violence for healthcare professionals.
BACKGROUND: Literature reviews rely on rigorous title and abstract screening by researchers, which is time-consuming. AI-assisted literature screening tools have been proposed to improve efficiency by prioritizing titles and abstracts with the highest likelihood of meeting the inclusion criteria, thereby reducing the need to screen all records. OBJECTIVE: This study aims to evaluate the performanc...
INTRODUCTION: Surgeons are frequently exposed to psychological stress across the perioperative trajectory, which may affect surgeons' well-being and patient safety. Recent advances in wearable sensing, multimodal data analysis, and machine learning have expanded the methodological approaches available for perioperative stress assessment. However, a comprehensive synthesis of these methodological d...
PURPOSE: To evaluate the diagnostic outcomes of single-view asymmetries (SVAs) recalled from screening mammography and to explore the association betw...
This study aims to evaluate a Grok application programming interface (API)-based file-attachment structured reporting workflow for silicone breast imp...
This scoping review consolidates existing technology-enabled interventions for preventing and responding to abuse of older people (AOP). Studies repor...
Hikikomori, or prolonged social withdrawal, is an issue of global relevance. The HRI-15 is a brief tool for its assessment. This study enhances its ut...
As patients increasingly access radiology reports through electronic portals, imaging reports are no longer private technical communications between c...
OBJECTIVES: A substantial proportion of adults with locally advanced gastric cancer derive limited benefit from neoadjuvant chemotherapy (NAC), with a...
The relative use of shock wave lithotripsy (SWL) has declined with the expansion of endourological techniques, although SWL remains widely available. ...
BACKGROUND: Generative AI, large language models, and ambient AI systems are rapidly being integrated into documentation-related processes in medicine...
BACKGROUND: Integration of large language models (LLMs) into health care has accelerated rapidly, yet reliability concerns pose potential risks to pat...
AIM: To investigate whether artificial intelligence (AI) models trained on standard 12-lead electrocardiograms (ECG) can identify symptom-defined diab...
Ultrasound imaging is widely used across cardiology, hepatology, obstetrics, breast and thyroid imaging, and emergency care because it is real-time, n...
Maintaining the quality and consistency of radiology reports has become increasingly challenging with the growing volume of imaging examinations. This...
BACKGROUND: With growing prevalence of mild cognitive impairment and dementia, online self-administered pre-screening tests hold the promise to more o...
Interval breast cancers are diagnosed between screening rounds. Because they portend a worse diagnosis than screen-detected cancers, decreasing the in...
BACKGROUND: Advanced HIV disease remains a major global health concern, with nearly 40.8 million people living with HIV as of 2024. Antiretroviral the...
BACKGROUND: 3D printing is an advanced, computer-aided design (CAD)-guided, layer-by-layer manufacturing technology with strong potential for producin...
Systematic reviews and meta-analyses remain time-consuming and labor-intensive. We developed and validated a locally executed agentic artificial intel...
Cardiovascular risk assessment is a natural extension of lung cancer screening (LCS) because individuals eligible for low-dose computed tomography oft...