Domestic Violence

Differential gray matter correlates and machine learning prediction of abuse and internalizing psychopathology in adolescent females.

Childhood abuse represents one of the most potent risk factors for the development of psychopatholog...

Stress Monitoring in Pandemic Screening: Insights from GSR Sensor and Machine Learning Analysis.

This study investigates the impact of patient stress on COVID-19 screening. An attempt was made to m...

Prediction of sepsis among patients with major trauma using artificial intelligence: a multicenter validated cohort study.

BACKGROUND: Sepsis remains a significant challenge in patients with major trauma in the ICU. Early d...

Forecasting Pediatric Trauma Volumes: Insights From a Retrospective Study Using Machine Learning.

INTRODUCTION: Rising pediatric firearm-related fatalities in the United States strain Trauma Centers...

Human intention recognition for trauma resuscitation: An interpretable deep learning approach for medical process data.

OBJECTIVE: Trauma resuscitation is the initial evaluation and management of injured patients in the ...

Use of large language models as artificial intelligence tools in academic research and publishing among global clinical researchers.

With breakthroughs in Natural Language Processing and Artificial Intelligence (AI), the usage of Lar...

An artificial intelligence application to predict prolonged dependence on mechanical ventilation among patients with critical orthopaedic trauma: an establishment and validation study.

BACKGROUND: Prolonged dependence on mechanical ventilation is a common occurrence in clinical ICU pa...

Feasibility of AI as first reader in the 4-IN-THE-LUNG-RUN lung cancer screening trial: impact on negative-misclassifications and clinical referral rate.

BACKGROUND: Lung cancer screening (LCS) with low-dose CT (LDCT) reduces lung-cancer-related mortalit...

NeuTox 2.0: A hybrid deep learning architecture for screening potential neurotoxicity of chemicals based on multimodal feature fusion.

Chemically induced neurotoxicity is a critical aspect of chemical safety assessment. Traditional and...

Hope for the best prepare for the worst: acute kidney disease and catastrophic comorbidities (a case report).

It is evident that Acute Kidney Injury (AKI) is an independent risk factor for both the survival of ...

Evaluating the Influence of Clinical Data on Inter-Observer Variability in Optic Disc Analysis for AI-Assisted Glaucoma Screening.

PURPOSE: This study aims to evaluate the inter-observer variability in assessing the optic disc in f...

AVP-GPT2: A Transformer-Powered Platform for De Novo Generation, Screening, and Explanation of Antiviral Peptides.

Human respiratory syncytial virus (RSV) remains a significant global health threat, particularly for...

Screening prediction models using artificial intelligence for moderate-to-severe obstructive sleep apnea in patients with acute ischemic stroke.

BACKGROUND: Obstructive sleep apnea (OSA) is common after stroke. Still, routine screening of OSA wi...

Development of Nipple Trauma Evaluation System With Deep Learning.

BACKGROUND: No research has been conducted on the use of deep learning for breastfeeding support.

Non-invasive screening for laryngeal cancer using the oral cavity as a proxy for differentiation of laryngeal cancer versus leukoplakia: A novel application of ESS technology and artificial intelligence supported statistical modeling.

OBJECTIVE: This preliminary study tested whether non-invasive, remote Elastic Scattering Spectroscop...

Automated assessment of endometrial receptivity for screening recurrent pregnancy loss risk using deep learning-enhanced ultrasound and clinical data.

BACKGROUND: Recurrent pregnancy loss (RPL) poses significant challenges in clinical management due t...

Identification of STAT3 phosphorylation inhibitors using generative deep learning, virtual screening, molecular dynamics simulations, and biological evaluation for non-small cell lung cancer therapy.

The development of phosphorylation-suppressing inhibitors targeting Signal Transducer and Activator ...

Artificial intelligence in emergency and trauma radiology: ASER AI/ML expert panel Delphi consensus statement on research guidelines, practices, and priorities.

BACKGROUND: Emergency/trauma radiology artificial intelligence (AI) is maturing along all stages of ...

AI in Dental Radiology-Improving the Efficiency of Reporting With ChatGPT: Comparative Study.

BACKGROUND: Structured and standardized documentation is critical for accurately recording diagnosti...

Silent Signals: Advancing Incidental Lung Nodule Screening Through Artificial Intelligence Innovation.

Automated feature selection for early keratoconus screening optimization.

In this paper, an automated feature selection (FS) method is presented to optimize machine learning ...