Domestic Violence

A Deep Learning-Based Decision Support Tool for Precision Risk Assessment of Breast Cancer.

PURPOSE: The Breast Imaging Reporting and Data System (BI-RADS) lexicon was developed to standardize...

Reporting of artificial intelligence prediction models.

High-throughput screening and Bayesian machine learning for copper-dependent inhibitors of Staphylococcus aureus.

One potential source of new antibacterials is through probing existing chemical libraries for copper...

Screening Glaucoma With Red-free Fundus Photography Using Deep Learning Classifier and Polar Transformation.

UNLABELLED: PRéCIS:: The novel proposed algorithm using deep learning classifier and polar transform...

Natural language processing and machine learning to identify alcohol misuse from the electronic health record in trauma patients: development and internal validation.

OBJECTIVE: Alcohol misuse is present in over a quarter of trauma patients. Information in the clinic...

Animal Bite in a 6-month-old Child and Facial Injury with Associated Unusual Nasal Injury: Management of Injuries along with 1-year Follow-up.

UNLABELLED: In children, accidental injuries (AI) are the most common cause of major trauma. Althoug...

DeepScreening: a deep learning-based screening web server for accelerating drug discovery.

Deep learning contributes significantly to researches in biological sciences and drug discovery. Pre...

Screening for Alzheimer's Disease Using Saliva: A New Approach Based on Machine Learning and Raman Hyperspectroscopy.

BACKGROUND: Alzheimer's disease and related dementias (ADRDs) are being diagnosed at epidemic rates,...

Screening key lncRNAs for human lung adenocarcinoma based on machine learning and weighted gene co-expression network analysis.

BACKGROUND: Lung adenocarcinoma (LUAD) accounts for a significant proportion of lung cancer and ther...

Better resource utilization and quality of care for cervical cancer screening in low-resourced districts using an internet-based expert system.

BACKGROUND: Screening tools are critical in the early prevention of cervical cancers. Acetic-acid ba...

Virtual Screening of Anti-Cancer Compounds: Application of Monte Carlo Technique.

Possibility and necessity of standardization of predictive models for anti-cancer activity are discu...

Virtual Screening Meets Deep Learning.

BACKGROUND: Automated compound testing is currently the de facto standard method for drug screening,...

Machine learning approach for early detection of autism by combining questionnaire and home video screening.

BACKGROUND: Existing screening tools for early detection of autism are expensive, cumbersome, time- ...

Artificial intelligence can predict daily trauma volume and average acuity.

BACKGROUND: The goal of this study was to integrate temporal and weather data in order to create an ...

A Unified Optic Nerve Head and Optic Cup Segmentation Using Unsupervised Neural Networks for Glaucoma Screening.

Segmentation of retinal anatomical features such as optic nerve head (ONH) and optic cup, the bright...

A New and Improved Method for Automated Screening of Age-Related Macular Degeneration Using Ensemble Deep Neural Networks.

In this paper, we provide a new framework on deep learning based automated screening method for find...

Barriers to staff reporting adverse incidents in NHS hospitals.

Our study assessed barriers to reporting adverse incidents (AIs). Adverse incident reporting (AIR), ...

Robotics in trauma and orthopaedics.

Recent advances and review of literature

Quantitative Analysis of Uncertainty in Medical Reporting: Creating a Standardized and Objective Methodology.

Uncertainty in text-based medical reports has long been recognized as problematic, frequently result...

Automatic Calcium Scoring in Low-Dose Chest CT Using Deep Neural Networks With Dilated Convolutions.

Heavy smokers undergoing screening with low-dose chest CT are affected by cardiovascular disease as ...

Machine Learning Models for Prediction of Reinjury After Penetrating Trauma.

This study compares several machine learning models for prediction of reinjury after penetrating tra...