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Domestic Violence

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

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Automated image curation in diabetic retinopathy screening using deep learning.

Diabetic retinopathy (DR) screening images are heterogeneous and contain undesirable non-retinal, in...

Added value of an artificial intelligence solution for fracture detection in the radiologist's daily trauma emergencies workflow.

PURPOSE: The main objective of this study was to compare radiologists' performance without and with ...

HunCRC: annotated pathological slides to enhance deep learning applications in colorectal cancer screening.

Histopathology is the gold standard method for staging and grading human tumors and provides critica...

Radiomics and deep learning for myocardial scar screening in hypertrophic cardiomyopathy.

BACKGROUND: Myocardial scar burden quantified using late gadolinium enhancement (LGE) cardiovascular...

DeepStroke: An efficient stroke screening framework for emergency rooms with multimodal adversarial deep learning.

In an emergency room (ER) setting, stroke triage or screening is a common challenge. A quick CT is u...

Deep Learning and Structure-Based Virtual Screening for Drug Discovery against NEK7: A Novel Target for the Treatment of Cancer.

NIMA-related kinase7 (NEK7) plays a multifunctional role in cell division and NLRP3 inflammasone act...

Automated Screening of COVID-19-Based Tongue Image on Chinese Medicine.

OBJECTIVE: Artificial intelligence-powered screening systems of coronavirus disease 2019 (COVID-19) ...

Evaluation of an artificial intelligence algorithm for assisting the Paris System in reporting urinary cytology: A pilot study.

BACKGROUND: The Paris System for Reporting Urinary Cytology (TPS) has been shown to improve bladder ...

Integrating artificial intelligence and natural language processing for computer-assisted reporting and report understanding in nuclear cardiology.

Natural language processing (NLP) offers many opportunities in Nuclear Cardiology. These opportuniti...

A novel tool that allows interactive screening of PubMed citations showed promise for the semi-automation of identification of Biomedical Literature.

BACKGROUND AND OBJECTIVES: Systematic reviews form the basis of evidence-based medicine, but are exp...

Identification of upper GI diseases during screening gastroscopy using a deep convolutional neural network algorithm.

BACKGROUND AND AIMS: The clinical application of GI endoscopy for the diagnosis of multiple diseases...

Multi-branch fusion auxiliary learning for the detection of pneumonia from chest X-ray images.

Lung infections caused by bacteria and viruses are infectious and require timely screening and isola...

Deep Learning to Optimize Candidate Selection for Lung Cancer CT Screening: Advancing the 2021 USPSTF Recommendations.

Background A deep learning (DL) model to identify lung cancer screening candidates based on their ch...

Improved Productivity Using Deep Learning-assisted Reporting for Lumbar Spine MRI.

Background Lumbar spine MRI studies are widely used for back pain assessment. Interpretation involve...

Maximizing the integration of virtual and experimental screening in hit discovery.

INTRODUCTION: Experimental and virtual screening contributes to the discovery of more than 50% of cl...

Screening membraneless organelle participants with machine-learning models that integrate multimodal features.

Protein self-assembly is one of the formation mechanisms of biomolecular condensates. However, most ...

The Role of AirSeal in Robotic Urologic Surgery: A Systematic Review.

The adoption of a valveless trocar system in robotic surgery has allowed for stable pneumoperitoneu...

The current status of robotic colorectal surgery training programmes.

Robotic-assisted colorectal surgery (RACS) is steadily increasing in popularity with an annual growt...

Neuropsychological test using machine learning for cognitive impairment screening.

OBJECTIVES: Neuropsychological tests (NPTs) are widely used tools to evaluate cognitive functioning....

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