Latest AI and machine learning research in domestic violence for healthcare professionals.
RATIONALE AND OBJECTIVES: To map artificial intelligence (AI) and radiomics applications in computed tomography (CT), magnetic resonance imaging (MRI), and fluorodeoxyglucose positron emission tomography/CTÂ (FDG-PET/CT) for oropharyngeal squamous cell carcinoma (OPSCC) in the context of human papillomavirus (HPV) status and treatment deintensification, evaluate reporting quality using TRIPOD+AI (T...
BACKGROUND: Systemic amyloidosis is a progressive disease in which misfolded protein toxicity and deposition lead to organ dysfunction. Early diagnosis is essential to enable timely treatment and prevent irreversible organ damage, yet the disease remains underrecognized. Although advances in imaging and biomarkers have raised suspicion in appropriate contexts, a major barrier is the absence of cle...
Telemedicine is reshaping how early autism detection can be delivered, particularly in resource-limited settings. Yet, most existing tele-assessment t...
Diagnosis of Parkinson's disease (PD) remains a major clinical challenge, particularly in the prodromal and early clinically evident stages, when symp...
While general-purpose large language models (LLMs) demonstrate remarkable capabilities, their clinical application demands rigorous adaptation to ensu...
Objective Diabetic retinopathy (DR) is the leading cause of preventable blindness in adults and poses significant challenges in low- and middle-in...
BACKGROUND: The Neurocore-SENSED framework, derived from a three-round modified Delphi process involving 77 international spine surgeons, provides a s...
BACKGROUND: Screening is important for early detection of cervical cancer in low- and middle-income countries. Visual inspection with acetic acid (VIA...
BACKGROUND: Large language models (LLMs) are increasingly demonstrating the potential to reach human-level performance in generating clinical summarie...
Alveolar ridge preservation (ARP) after tooth extraction depends on accurate three-dimensional bone assessment to optimize implant placement and prost...
BACKGROUND: Despite advances in epilepsy treatment options, selecting the appropriate therapy for an individual with epilepsy is a process of trial an...
BACKGROUND: Early identification of neonates at risk of retinopathy of prematurity (ROP) is essential to prevent vision loss. The goal of this study w...
Medical image classification has advanced substantially with convolutional neural networks (CNNs), Vision Transformers (ViTs), and hybrid CNN-ViT arch...
BACKGROUND: Injuries are responsible for 950,000 deaths per year among children and adolescents under 18Â years old. Trauma prediction scores are usefu...
Cerebrospinal fluid biomarkers, and more recently blood-based biomarkers, are playing a pivotal role in reshaping the clinical management of neurodege...
Recent years have witnessed considerable progress in computer-aided drug discovery, driven by the incorporation of computational technologies within b...
BACKGROUND: There is increasing recognition that trauma exposure and related psychiatric consequences predict cardiovascular disease risk. However, mo...
Existing dyslexia detection methods typically rely on either EEG or screening tests. This study introduces a multimodal two-stage methodology for dysl...
OBJECTIVE: We set out to examine how completely artificial intelligence (AI)-based orthopedic studies report their methods. METHODS: A PubMed search c...
BACKGROUND: Lymphedema is a debilitating disease, in which timely diagnosis and standardized monitoring are essential to prevent progression. Artifici...