Domestic Violence

High-throughput screening and DFT characterization of bimetallic alloy catalysts for the nitrogen reduction reaction.

The lack of active and selective catalysts hinders transition to the electrochemical nitrogen reduct...

A practical guide for nephrologist peer reviewers: evaluating artificial intelligence and machine learning research in nephrology.

Artificial intelligence (AI) and machine learning (ML) are transforming nephrology by enhancing diag...

Combining the NanaPPI Toolbox and AI-Driven Virtual Inhibitor Screening for the p53-MDM2 Interaction.

High-throughput screening for inhibitors of protein-protein interactions (PPIs) provides vital infor...

Construction of extra-large scale screening tools for risks of severe mental illnesses using real world healthcare data.

IMPORTANCE: The prevalence of severe mental illnesses (SMIs) in the United States is approximately 3...

Autonomous screening of infants at high risk for neurodevelopmental impairments using a radar sensor and machine learning.

Neurodevelopmental impairments (NDIs) are significant long-term complications in preterm infants. Wh...

Retraction Note: A combined microfluidic deep learning approach for lung cancer cell high throughput screening toward automatic cancer screening applications.

Development and retrospective validation of an artificial intelligence system for diagnostic assessment of prostate biopsies: study protocol.

INTRODUCTION: Histopathological evaluation of prostate biopsies using the Gleason scoring system is ...

Potential Time and Recall Benefits for Adaptive AI-Based Breast Cancer MRI Screening.

BACKGROUND: Abbreviated breast MRI protocols are advocated for breast screening as they limit acquis...

Promising for patients or deeply disturbing? The ethical and legal aspects of deepfake therapy.

Deepfakes are hyper-realistic but fabricated videos created with the use of artificial intelligence....

Employing machine learning for early detection of poly-victimization in rural children: a survey study in China's Chaoshan region.

BACKGROUND: Poly-victimization (PV), encompassing multiple forms of victimization including physical...

Research on predicting the risk level of coal mine roof accident based on machine learning.

Coal mine roof accidents are one of the main types of accidents leading to the decline of coal mine ...

Ultrahigh-Throughput Virtual Screening Strategies against PPI Targets: A Case Study of STAT Inhibitors.

In recent years, virtual screening of ultralarge (10) libraries of synthetically accessible compound...

Fine-tuning of language models for automated structuring of medical exam reports to improve patient screening and analysis.

The analysis of medical imaging reports is labour-intensive but crucial for accurate diagnosis and e...

Co-Design of a Health Screening Program Fact Sheet by People Experiencing Homelessness and ChatGPT: Focus Group Study.

BACKGROUND: People experiencing homelessness have worse oral health outcomes and a notable health in...

Enhancing Prostate Cancer Classification: A Comprehensive Review of Multiparametric MRI and Deep Learning Integration.

Multiparametric MRI (mpMRI) has become an essential tool in the detection of prostate cancer (PCa) a...

Novel technologies for REM sleep behavior disorder detection for home screening in Parkinson's disease and related alpha-synucleinopathies.

Isolated REM sleep behavior disorder (iRBD) is a prodromal marker of Parkinson's disease (PD) and re...

Can ChatGPT Provide Patient-Friendly and Reliable Information on Cervical Cancer Screening? A Study of ChatGPT-Generated Information in Polish.

BACKGROUND Cervical cancer (CC) mortality remains a global health problem, and women's awareness of ...

Machine learning-driven prediction of eye irritation toxicity: Integration of in silico and in vitro study.

Eye irritation (EI) toxicity poses critical challenges in chemical safety assessment, demanding alte...

Comparative analysis of artificial intelligence tools for the dissemination of colorectal cancer screening guidelines: a novel perspective on early screening education.

This study systematically evaluated the effectiveness of three artificial intelligence (AI) tools-Ch...

Multimodal Generative Artificial Intelligence Model for Creating Radiology Reports for Chest Radiographs in Patients Undergoing Tuberculosis Screening.

Chest radiographs play a crucial role in tuberculosis screening in high-prevalence regions, althoug...

Clinical validation of AI assisted animal ultrasound models for diagnosis of early liver trauma.

The study aimed to develop an AI-assisted ultrasound model for early liver trauma identification, us...