Domestic Violence

Deep Learning for Automatic Calcium Scoring in Population-Based Cardiovascular Screening.

Machine Learning-Enabled Pipeline for Large-Scale Virtual Drug Screening.

Virtual screening is receiving renewed attention in drug discovery, but progress is hampered by chal...

Using deep learning to assist readers during the arbitration process: a lesion-based retrospective evaluation of breast cancer screening performance.

OBJECTIVES: To evaluate if artificial intelligence (AI) can discriminate recalled benign from recall...

Artificial intelligence-assisted fast screening cervical high grade squamous intraepithelial lesion and squamous cell carcinoma diagnosis and treatment planning.

Every year cervical cancer affects more than 300,000 people, and on average one woman is diagnosed w...

Diagnostic performance of deep-learning-based screening methods for diabetic retinopathy in primary care-A meta-analysis.

BACKGROUND: Diabetic retinopathy (DR) affects 10-24% of patients with diabetes mellitus type 1 or 2 ...

Deep learning methods for screening patients' S-ICD implantation eligibility.

Subcutaneous Implantable Cardioverter-Defibrillators (S-ICDs) are used for prevention of sudden card...

Validating deep learning inference during chest X-ray classification for COVID-19 screening.

The new coronavirus unleashed a worldwide pandemic in early 2020, and a fatality rate several times ...

LUNAR :Drug Screening for Novel Coronavirus Based on Representation Learning Graph Convolutional Network.

An outbreak of COVID-19 that began in late 2019 was caused by a novel coronavirus(SARS-CoV-2). It ha...

Artificial intelligence in orthopedic implant model classification: a systematic review.

Although artificial intelligence models have demonstrated high accuracy in identifying specific orth...

DeepUWF: An Automated Ultra-Wide-Field Fundus Screening System via Deep Learning.

The emerging ultra-wide field of view (UWF) fundus color imaging is a powerful tool for fundus scree...

An automatic screening method for strabismus detection based on image processing.

PURPOSE: This study aims to provide an automatic strabismus screening method for people who live in ...

Five regions, five retinopathy screening programmes: a systematic review of how Portugal addresses the challenge.

BACKGROUND: The implementation of a population-based screening programme for diabetic retinopathy in...

A novel deep learning approach to extract Chinese clinical entities for lung cancer screening and staging.

BACKGROUND: Computed tomography (CT) reports record a large volume of valuable information about pat...

Body shape matters: Evidence from machine learning on body shape-income relationship.

The association between physical appearance and income has been of central interest in social scienc...

Predicting pain among female survivors of recent interpersonal violence: A proof-of-concept machine-learning approach.

Interpersonal violence (IPV) is highly prevalent in the United States and is a major public health p...

What's in a trauma? Using machine learning to unpack what makes an event traumatic.

What differentiates a trauma from an event that is merely upsetting? Wildly different definitions of...

DeepCervix: A deep learning-based framework for the classification of cervical cells using hybrid deep feature fusion techniques.

Cervical cancer, one of the most common fatal cancers among women, can be prevented by regular scree...

PyRMD: A New Fully Automated AI-Powered Ligand-Based Virtual Screening Tool.

Artificial intelligence (AI) algorithms are dramatically redefining the current drug discovery lands...

Bayesian Modeling for the Detection of Adverse Events Underreporting in Clinical Trials.

INTRODUCTION: Safety underreporting is a recurrent issue in clinical trials that can impact patient ...

Computational Discovery of Transition-metal Complexes: From High-throughput Screening to Machine Learning.

Transition-metal complexes are attractive targets for the design of catalysts and functional materia...

PyPEF-An Integrated Framework for Data-Driven Protein Engineering.

Data-driven strategies are gaining increased attention in protein engineering due to recent advances...