Latest AI and machine learning research in domestic violence for healthcare professionals.
BACKGROUND: Managing an epidemic demands policies that respond at the pace of the outbreak. Conventional rule‑based interventions struggle to keep up, prompting interest in reinforcement learning (RL) for designing non‑pharmaceutical interventions (NPIs). However, current evidence is fragmented across diverse models and reporting styles. OBJECTIVES: To systematically map how RL is applied for epid...
BACKGROUND: Early identification of autism spectrum disorder (ASD) is essential for improving developmental outcomes but remains challenging due to diagnostic delays, subjectivity, and resource limitations. Eye-tracking offers objective indices of social attention and could improve access to early screening when deployed on consumer devices at home. This scoping review synthesizes evidence on home...
BACKGROUND: The diagnosis of rare diseases increasingly relies on the interpretation of high-throughput next-generation sequencing (NGS) data. As sequ...
Graft-versus-host disease (GVHD) continues to be a major cause of morbidity after allogeneic stem cell transplantation. This article summarizes curren...
INTRODUCTION: Carrying out a systematic review (SR) of the literature entails a high workload and encompasses a variety of very different tasks. The e...
OBJECTIVE: The application of artificial intelligence/machine learning (AI/ML) to magnetic resonance imaging (MRI) promises to enhance and support cli...
PURPOSE: The COSMIN Reporting Guideline 2.0 and its Explanation & Elaboration document have been published to guide researchers in reporting studies o...
BACKGROUND: Older patients with patellar fractures may be at increased risk of postoperative deep vein thrombosis (DVT) because of trauma, perioperati...
This study aimed to identify key risk factors for delirium in trauma patients and to develop an interpretable machine learning model using routinely a...
BACKGROUND: Research is needed to develop more accurate readmission prediction models that identify patients at the highest risk of readmission after ...
INTRODUCTION: Plant viruses inflict annual economic losses exceeding $30 billion and pose a significant threat to global food security. Discovering re...
Prostate Imaging Reporting and Data System (PI-RADS) version 2.1 has substantially advanced the standardization of prostate MRI acquisition, interpret...
OBJECTIVES: To estimate patient-level diagnostic accuracy of deep learning (DL) for MRI-based detection of clinically significant prostate cancer (csP...
IMPORTANCE: Ocular surface malignancies pose risks to vision and survival yet are frequently misdiagnosed as benign lesions because of their subtle pr...
Organoids have become mainstay tools for drug discovery and personalized medicine. High-throughput imaging readouts for drug screening of tumor organo...
BACKGROUND: Dental pulp calcifications, including pulp stones and diffuse calcific changes, can complicate endodontic access, canal negotiation, and t...
The increasing digitalization of healthcare necessitates laboratory data interoperability to ensure reliable clinical decision-making, efficient data ...
Artificial intelligence (AI) has emerged as a promising tool in forensic sciences, offering new opportunities for personal identification through auto...
BACKGROUND: Heart failure is not only a prevalent disease with a high mortality rate, but also generates high costs for healthcare systems. By trainin...
BACKGROUND: Therapeutic peptides represent a rapidly expanding class of drug candidates due to their diverse biological activities and high specificit...