Domestic Violence

Raman spectroscopy of follicular fluid and plasma with machine-learning algorithms for polycystic ovary syndrome screening.

Polycystic ovary syndrome (PCOS) is the main cause of anovulatory infertility and affects women thro...

An artificial intelligence-derived tool proposal to ease disordered eating screening in people with obesity.

PURPOSE: In people with obesity, food addiction (FA) tends to be associated with poorer outcomes. It...

Deep Neural Network for Reducing the Screening Workload in Systematic Reviews for Clinical Guidelines: Algorithm Validation Study.

BACKGROUND: Performing systematic reviews is a time-consuming and resource-intensive process.

Beyond the : "Deep Learning Using Chest Radiographs to Identify High-Risk Smokers for Lung Cancer Screening Computed Tomography: Development and Validation of a Prediction Model".

Development and evaluation of deep learning for screening dental caries from oral photographs.

OBJECTIVES: To develop and evaluate the performance of a deep learning system based on convolutional...

Machine Learning Revealed New Correlates of Chronic Pelvic Pain in Women.

Chronic pelvic pain affects one in seven women worldwide, and there is an urgent need to reduce its ...

A conservative screening algorithm to determine candidacy for robotic mitral valve surgery.

OBJECTIVE: Patient selection for robotically assisted mitral valve repair remains controversial. We ...

Application 2D Descriptors and Artificial Neural Networks for Beta-Glucosidase Inhibitors Screening.

Beta-glucosidase inhibitors play important medical and biological roles. In this study, simple two-v...

Longitudinal Screening for Diabetic Retinopathy in a Nationwide Screening Program: Comparing Deep Learning and Human Graders.

OBJECTIVE: To evaluate diabetic retinopathy (DR) screening via deep learning (DL) and trained human ...

The role of artificial intelligence in breast cancer screening: how can it improve detection?

Rapid triage for COVID-19 using routine clinical data for patients attending hospital: development and prospective validation of an artificial intelligence screening test.

BACKGROUND: The early clinical course of COVID-19 can be difficult to distinguish from other illness...

Reporting of screening and diagnostic AI rarely acknowledges ethical, legal, and social implications: a mass media frame analysis.

BACKGROUND: Healthcare is a rapidly expanding area of application for Artificial Intelligence (AI). ...

Hybrid-COVID: a novel hybrid 2D/3D CNN based on cross-domain adaptation approach for COVID-19 screening from chest X-ray images.

The novel Coronavirus disease (COVID-19), which first appeared at the end of December 2019, continue...

Moderate to severe leukocytosis with vasopressor use is associated with increased mortality in trauma patients.

BACKGROUND: Leukocytosis is a rise in white blood cell (WBC) count and clinical outcomes of moderate...

Beyond the : "External Evaluation of 3 Commercial Artificial Intelligence Algorithms for Independent Assessment of Screening Mammograms".

Towards compound identification of synthetic opioids in nontargeted screening using machine learning techniques.

The constant evolution of the illicit drug market makes the identification of unknown compounds prob...

Noninvasive Precision Screening of Prostate Cancer by Urinary Multimarker Sensor and Artificial Intelligence Analysis.

Screening for prostate cancer relies on the serum prostate-specific antigen test, which provides a h...

Iterative reconstruction and deep learning algorithms for enabling low-dose computed tomography in midfacial trauma.

OBJECTIVES: The objective of this study was to quantitatively assess the image quality of Advanced M...

Accurate spatiotemporal mapping of drug overdose deaths by machine learning of drug-related web-searches.

Persons who inject drugs (PWID) are at increased risk for overdose death (ODD), infections with HIV,...

M Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening From CT Imaging.

To counter the outbreak of COVID-19, the accurate diagnosis of suspected cases plays a crucial role ...

Statistical stopping criteria for automated screening in systematic reviews.

Active learning for systematic review screening promises to reduce the human effort required to iden...