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Domestic Violence

Latest AI and machine learning research in domestic violence for healthcare professionals.

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Showing 337-357 of 4,084 articles
Optimizing skin cancer screening with convolutional neural networks in smart healthcare systems.

Skin cancer is among the most prevalent types of malignancy all over the global and is strongly asso...

Deep Learning-Based Detection of Aflatoxin B1 Contamination in Almonds Using Hyperspectral Imaging: A Focus on Optimized 3D Inception-ResNet Model.

Aflatoxin B1, a toxic carcinogen frequently contaminating almonds, nuts, and food products, poses si...

RNAmigos2: accelerated structure-based RNA virtual screening with deep graph learning.

RNAs are a vast reservoir of untapped drug targets. Structure-based virtual screening (VS) identifie...

Unveiling CNS cell morphology with deep learning: A gateway to anti-inflammatory compound screening.

Deciphering the complex relationships between cellular morphology and phenotypic manifestations is c...

Optimizing deep learning models for glaucoma screening with vision transformers for resource efficiency and the pie augmentation method.

Glaucoma is the leading cause of irreversible vision impairment, emphasizing the critical need for e...

[Simulators and simulation for advanced training in orthopedic and trauma surgery : An overview].

Simulators and immersive technologies, such as virtual reality and augmented reality are becoming in...

Generalizability of clinical prediction models in mental health.

Concerns about the generalizability of machine learning models in mental health arise, partly due to...

Emerging Applications of Digital Technologies for Periodontal Screening, Diagnosis and Prognosis in the Dental Setting.

AIM: To comprehensively review digital technologies (including artificial intelligence, AI) for peri...

GPT for RCTs? Using AI to determine adherence to clinical trial reporting guidelines.

OBJECTIVES: Adherence to established reporting guidelines can improve clinical trial reporting stand...

LI-RADS-based hepatocellular carcinoma risk mapping using contrast-enhanced MRI and self-configuring deep learning.

BACKGROUND: Hepatocellular carcinoma (HCC) is often diagnosed using gadoxetate disodium-enhanced mag...

Screening necroptosis genes influencing osteoarthritis development based on machine learning.

Machine learning can be applied to identify key genes associated with osteoarthritis (OA). This stud...

Effectiveness of machine learning methods in detecting grooming: a systematic meta-analytic review.

This study presents a systematic review (SR) and meta-analysis (MA) on the use of machine learning (...

Automatic pre-screening of outdoor airborne microplastics in micrographs using deep learning.

Airborne microplastics (AMPs) are prevalent in both indoor and outdoor environments, posing potentia...

Three-dimensional markerless surface topography approach with convolutional neural networks for adolescent idiopathic scoliosis screening.

Adolescent idiopathic scoliosis (AIS) is a three-dimensional lateral and torsional deformity of the ...

Metabolomics and machine learning approaches for diagnostic biomarkers screening in systemic light chain amyloidosis.

Delayed diagnosis of systemic light chain (AL) amyloidosis is common and associated with worse survi...

Engineering highly active nuclease enzymes with machine learning and high-throughput screening.

Optimizing enzymes to function in novel chemical environments is a central goal of synthetic biology...

Deep learning-based evaluation of panoramic radiographs for osteoporosis screening: a systematic review and meta-analysis.

BACKGROUND: Osteoporosis is a complex condition that drives research into its causes, diagnosis, tre...

Unveiling the power of R: a comprehensive perspective for laboratory medicine data analysis.

R language has gained traction in laboratory medicine for its statistical power and dynamic tools li...

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