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Domestic Violence

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

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High-performance automated abstract screening with large language model ensembles.

OBJECTIVE: screening is a labor-intensive component of systematic review involving repetitive applic...

External Testing of a Commercial AI Algorithm for Breast Cancer Detection at Screening Mammography.

Purpose To test a commercial artificial intelligence (AI) system for breast cancer detection at the ...

Performance of Two Deep Learning-based AI Models for Breast Cancer Detection and Localization on Screening Mammograms from BreastScreen Norway.

Purpose To evaluate cancer detection and marker placement accuracy of two artificial intelligence (A...

A novel machine learning model for screening the risk of obstructive sleep apnea using craniofacial photography with questionnaires.

STUDY OBJECTIVES: Undiagnosed or untreated moderate-to-severe obstructive sleep apnea (OSA) increase...

Incorporating computer vision on smart phone photographs into screening for inflammatory arthritis: results from an Indian patient cohort.

OBJECTIVES: Convolutional neural networks (CNNs) are increasingly used to classify medical images, b...

Robotic task specific training for upper limb neurorehabilitation: a mixed methods feasibility trial reporting achievable dose.

PURPOSE: Robotic devices for upper-limb neurorehabilitation allow an increase in intensity of practi...

Bioactivity predictions and virtual screening using machine learning predictive model.

Recently, there has been significant attention on machine learning algorithms for predictive modelin...

Discovery of hematopoietic progenitor kinase 1 inhibitors using machine learning-based screening and free energy perturbation.

Hematopoietic progenitor kinase 1 (HPK1) is a key negative regulator of T-cell receptor (TCR) signal...

Validation of machine learning-assisted screening of PKC ligands: PKC binding affinity and activation.

Protein kinase C (PKC) is a family of serine/threonine kinases, and PKC ligands have the potential t...

[Advancements in machine learning applications in refractive surgery].

Refractive error is a significant factor contributing to visual impairment, imposing a relatively la...

Enhanced CT and MRI Focal Bone Tumor Classification with Machine Learning-based Stratification: A Multicenter Retrospective Study.

Background Standardized bone tumor reporting is crucial for consistent, risk-aligned patient managem...

Machine learning to improve HIV screening using routine data in Kenya.

INTRODUCTION: Optimal use of HIV testing resources accelerates progress towards ending HIV as a glob...

Requirements for AI Development and Reporting for MRI Prostate Cancer Detection in Biopsy-Naive Men: PI-RADS Steering Committee, Version 1.0.

This document defines the key considerations for developing and reporting an artificial intelligence...

Accuracy of Large Language Model-based Automatic Calculation of Ovarian-Adnexal Reporting and Data System MRI Scores from Pelvic MRI Reports.

Background Ovarian-Adnexal Reporting and Data System (O-RADS) for MRI helps assign malignancy risk, ...

Ensemble Deep Learning Algorithm for Structural Heart Disease Screening Using Electrocardiographic Images: PRESENT SHD.

BACKGROUND: Identifying structural heart diseases (SHDs) early can change the course of the disease,...

Implementation of A New, Mobile Diabetic Retinopathy Screening Model Incorporating Artificial Intelligence in Remote Western Australia.

OBJECTIVE: Diabetic retinopathy (DR) screening rates are poor in remote Western Australia where comm...

Prehospital triage of trauma patients: predicting major surgery using artificial intelligence as decision support.

BACKGROUND: Matching the necessary resources and facilities to attend to the needs of trauma patient...

Increase Docking Score Screening Power by Simple Fusion With CNNscore.

Scoring functions (SFs) of molecular docking is a vital component of structure-based virtual screeni...

DeepES: deep learning-based enzyme screening to identify orphan enzyme genes.

MOTIVATION: Progress in sequencing technology has led to determination of large numbers of protein s...

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