Domestic Violence

Virtual screening of dipeptidyl peptidase-4 inhibitors using quantitative structure-activity relationship-based artificial intelligence and molecular docking of hit compounds.

Dipeptidyl peptidase-4 (DPP-4) inhibitors are becoming an essential drug in the treatment of type 2 ...

Screening of key biomarkers of tendinopathy based on bioinformatics and machine learning algorithms.

Tendinopathy is a complex multifaceted tendinopathy often associated with overuse and with its high ...

Predictive value of a novel Asian lung cancer screening nomogram based on artificial intelligence and epidemiological characteristics.

BACKGROUND: To develop and validate a risk prediction nomogram based on a deep learning convolutiona...

Machine learning in the prediction of medical inpatient length of stay.

Length of stay (LOS) estimates are important for patients, doctors and hospital administrators. Howe...

Diagnostic value of a vision-based intelligent gait analyzer in screening for gait abnormalities.

BACKGROUND: Early detection of gait abnormalities is critical for preventing severe injuries in futu...

BH-index: A predictive system based on serum biomarkers and ensemble learning for early colorectal cancer diagnosis in mass screening.

BACKGROUND AND OBJECTIVE: Colorectal cancer is one of the most common malignancies among the general...

How prevalent and severe is addiction on GABAmimetic drugs in an elderly German general hospital population? Focus on gabapentinoids, benzodiazepines, and z-hypnotic drugs.

OBJECTIVE: Gabapentinoids (GPT) are reported to be increasingly misused by opioid- and polydrug-user...

Artificial Intelligence Applications in Urology: Reporting Standards to Achieve Fluency for Urologists.

The growth and adoption of artificial intelligence has led to impressive results in urology. As arti...

Augmenting BDI Agency with a Cognitive Service: Architecture and Validation in Healthcare Domain.

Autonomous intelligent systems are starting to influence clinical practice, as ways to both readily ...

Machine Learning for Workflow Applications in Screening Mammography: Systematic Review and Meta-Analysis.

Background Advances in computer processing and improvements in data availability have led to the dev...

Development and evaluation of a double-check support system using artificial intelligence in endoscopic screening for gastric cancer.

BACKGROUND: This study aimed to prevent missing gastric cancer and point out low-quality images by d...

Improving Structure-Based Virtual Screening with Ensemble Docking and Machine Learning.

One of the main challenges of structure-based virtual screening (SBVS) is the incorporation of the r...

Machine learning-assisted screening for cognitive impairment in the emergency department.

BACKGROUND/OBJECTIVES: Despite a high prevalence and association with poor outcomes, screening to id...

Molecular docking of phenolic compounds and screening of antioxidant and antidiabetic potential of ethanolic leaves extract from Qassim region, Saudi Arabia.

INTRODUCTION: Oxidative stress is crucial in diabetic pathophysiology, hence the prerequisite of ing...

High alert drugs screening using gradient boosting classifier.

Prescription errors in high alert drugs (HAD), a group of drugs that have a high risk of complicatio...

Improved Prediction of Older Adult Discharge After Trauma Using a Novel Machine Learning Paradigm.

BACKGROUND: The ability to reliably predict outcomes after trauma in older adults (age ≥ 65 y) is cr...

Data Management in Artificial Intelligence-Assisted Radiology Reporting.

Deep Learning for Automated Triaging of 4581 Breast MRI Examinations from the DENSE Trial.

Background Supplemental screening with MRI has proved beneficial in women with extremely dense breas...

The Use and Performance of Artificial Intelligence in Prosthodontics: A Systematic Review.

(1) Background: The rapid pace of digital development in everyday life is also reflected in dentistr...

[Structured reporting and artificial intelligence].

BACKGROUND: There are a multitude of application possibilities of artificial intelligence (AI) and s...

Deep-learning model for screening sepsis using electrocardiography.

BACKGROUND: Sepsis is a life-threatening organ dysfunction and a major healthcare burden worldwide. ...