Domestic Violence

Reader bias in breast cancer screening related to cancer prevalence and artificial intelligence decision support-a reader study.

OBJECTIVES: The aim of our study was to examine how breast radiologists would be affected by high ca...

Cystic renal mass screening: machine-learning-based radiomics on unenhanced computed tomography.

PURPOSE: The present study compares the diagnostic performance of unenhanced computed tomography (CT...

Autonomous swab robot for naso- and oropharyngeal COVID-19 screening.

The COVID-19 outbreak has triggered a global health and economic crisis, necessitating widespread te...

AIROGS: Artificial Intelligence for Robust Glaucoma Screening Challenge.

The early detection of glaucoma is essential in preventing visual impairment. Artificial intelligenc...

Homicide among Indigenous females in North Carolina: a comparison of publicly generated data and violent death reporting system.

Like other minoritized populations, American Indian/Alaska Native (AI/AN) females experience dispara...

Preoperative Delirium Risk Screening in Patients Undergoing a Cardiac Surgery: Results from the Prospective Observational FINDERI Study.

OBJECTIVE: Postoperative delirium (POD) is a common complication of cardiac surgery that is associat...

BKPyV DNAemia in Kidney Transplant Recipients Undergoing Regular Screening: A Single-Centre Cohort Study.

Infection with BK polyomavirus (BKPyV) is a common opportunistic infection after kidney transplantat...

Text Dialogue Analysis for Primary Screening of Mild Cognitive Impairment: Development and Validation Study.

BACKGROUND: Artificial intelligence models tailored to diagnose cognitive impairment have shown exce...

Combining Low-Dose Computer-Tomography-Based Radiomics and Serum Metabolomics for Diagnosis of Malignant Nodules in Participants of Lung Cancer Screening Studies.

Radiomics is an emerging approach to support the diagnosis of pulmonary nodules detected via low-dos...

Production of AFB1 High-Specificity Monoclonal Antibody by Three-Stage Screening Combined with the De-Homologation of Antibodies and the Development of High-Throughput icELISA.

To achieve accurate detection of AFB1 toxin content in agricultural products and avoid false-positiv...

Rapid screening of ternary amorphous formulations by a spray drying robot.

Spray drying is commonly used for producing amorphous solid dispersions to improve drug solubility. ...

Deep learning-based design and screening of benzimidazole-pyrazine derivatives as adenosine A receptor antagonists.

The Adenosine A receptor (AAR) is considered a novel potential target for the immunotherapy of cance...

Optical imaging for screening and early cancer diagnosis in low-resource settings.

Low-cost optical imaging technologies have the potential to reduce inequalities in healthcare by imp...

Towards Semi-Autonomous Colon Screening Using an Electromagnetically Actuated Soft-Tethered Colonoscope Based on Visual Servo Control.

OBJECTIVE: Conventional colonoscopy using a flexible colonoscope remains two major limitations, incl...

Diagnostic Accuracy of Hand-Held Fundus Camera and Artificial Intelligence in Diabetic Retinopathy Screening.

Our study aimed to assess the role of a hand-held fundus camera and artificial intelligence (AI)-bas...

Mammography Compliance for Arizona and New Mexico Hispanic and American Indian Women 2016-2018.

Hispanic and American Indian (AI) women experience lower breast cancer incidence than non-Hispanic W...

Artificial intelligence-based screening for amblyopia and its risk factors: comparison with four classic stereovision tests.

INTRODUCTION: The development of costs-effective and sensitive screening solutions to prevent amblyo...

Screening biomarkers for spinal cord injury using weighted gene co-expression network analysis and machine learning.

JOURNAL/nrgr/04.03/01300535-202412000-00028/figure1/v/2024-04-08T165401Z/r/image-tiff Immune changes...

AI in breast cancer screening: a critical overview of what we know.

Advances in machine intelligence-driven virtual screening approaches for big-data.

Virtual screening (VS) is an integral and ever-evolving domain of drug discovery framework. The VS i...

Letter re: "Real-Time Automated Machine Learning Algorithm for Predicting Mortality in Trauma Patients: Survey Says It's Ready for Prime Time".