Latest AI and machine learning research in domestic violence for healthcare professionals.
Purpose To evaluate the pooled diagnostic accuracy of externally tested AI models for malignancy classification of lung nodules on chest CT. Materials and Methods A systematic search of PubMed, Embase, Web of Science, CINAHL, and the Cochrane Library was performed in January 2025 to identify studies evaluating AI models for malignancy classification of lung nodules on chest CT using pathology and/...
BACKGROUND: Radiographic bone age estimation is routinely performed in children to evaluate short stature, early or late puberty, and endocrine disorders, as well as for surgical planning. OBJECTIVE: To evaluate agreement between three state-of-the-art deep learning bone age estimation models and chronological age in a large contemporary pediatric cohort. MATERIALS AND METHODS: We retrospectively ...
The diagnosis of prostate cancer rests on the histopathological evaluation of prostate needle core biopsy specimens (NCBS) supplemented by immunohisto...
INTRODUCTION: Hospitalized patients with heart failure (HF) frequently receive multiple high-risk intravenous (IV) medications, placing them at a subs...
INTRODUCTION: Artificial intelligence (AI)-powered chatbots are increasingly integrated into healthcare to support administrative processes, health ed...
BACKGROUND: Accurate segmentation of acute ischemic stroke (AIS) lesions on neuroimaging is essential for diagnosis, treatment decision-making, and pr...
BACKGROUND: Post-traumatic stress disorder (PTSD) is a stressor-related disorder that affects a significant proportion of the population worldwide. De...
Identity is a multi-level integrative process involving coordinated development across affective, symbolic, and embodied systems-a process of progress...
BACKGROUND: Severe trauma remains a leading cause of admission to the intensive care unit. The Trauma and Injury Severity Score (TRISS) is an establis...
OBJECTIVES: Systematic literature reviews (SLRs) provide the scientific basis for European Alliance of Associations for Rheumatology (EULAR) task forc...
INTRODUCTION/AIMS: Electrodiagnostic (EDX) studies comprise nerve conduction studies (NCS) and needle electromyography (EMG). However, EDX reporting i...
Urban arterial corridors present elevated crash risk due to high traffic volumes, complex geometries, and interactions among diverse road users. This ...
Sub-Saharan Africa faces twice the incidence and up to fifteen times the fatality rate of cervical cancer compared to developed countries. Screening c...
BACKGROUND: Predicting drug-drug interactions (DDIs) from social-media and drug descriptions is crucial for healthcare, drug regulation, and pharmaceu...
Background Digital breast tomosynthesis (DBT) uses 1-mm slices, resulting in a larger number of images and longer interpretation times than convention...
BACKGROUND: Urine cytology is a noninvasive and valuable tool for detecting urothelial carcinoma but suffers from variable sensitivity and observer de...
BACKGROUND: Incomplete prehospital documentation remains a major challenge, compromising continuity of care and data quality. Manual documentation is ...
PURPOSE: Foundation models pretrained on structured electronic health record (EHR) data promise improved predictive performance, sample efficiency and...
High mammographic density is a well-known risk factor for breast cancer and reduces the sensitivity of mammography-based screening. While automated ma...
AIM: The aim of this study was to explore the perspectives of midwifery academics regarding the integration of Artificial Intelligence (AI) into midwi...