Identifying and Reporting Dependent Adult abuse

Pharmacovigilance: Overview of Italian and European regulations, tools, and perspectives.

BackgroundThis study provides a concise overview of the Italian and European pharmacovigilance (PV) ...

ESR Essentials: common performance metrics in AI-practice recommendations by the European Society of Medical Imaging Informatics.

This article provides radiologists with practical recommendations for evaluating AI performance in r...

Reporting guidelines for manuscripts that use artificial intelligence-based automated image analysis in .

Reporting guideline for Chatbot Health Advice studies: the CHART statement.

BACKGROUND: The Chatbot Assessment Reporting Tool (CHART) is a reporting guideline developed to prov...

Predicting Elder Abuse Using a Random Forest Classifier.

This paper aims to identify key factors influencing elder abuse within the family and to further exp...

Contextual structured annotations on PACS: a futuristic vision for reporting routine oncologic imaging studies and its potential to transform clinical work and research.

Radiologists currently have very limited and time-consuming options to annotate findings on the imag...

Machine learning in dentistry: a scoping review.

Artificial intelligence (AI), specifically machine learning (ML), is increasingly applied in decisio...

Lack of Methodological Rigor and Limited Coverage of Generative AI in Existing AI Reporting Guidelines: A Scoping Review.

OBJECTIVES: This study aimed to systematically map the development methods, scope, and limitations o...

Assessing the reliability of ChatGPT in cytogenetic reporting and interpretation: implications for clinical use.

This study evaluates the accuracy of ChatGPT in generating chromosomal representations (formulas) ba...

Accuracy and challenges in age estimation in adults: a scoping review of anthropological, dental, biochemical, and molecular methods.

Age estimation is crucial in forensic sciences for victim identification, migration studies, and bio...

Documenting Disclosure: Limited Reporting of Generative AI Usage in Radiology Research Manuscripts.

RATIONALE AND OBJECTIVES: Large language models (LLMs) show promise in radiology through various cli...

LCwmcaR: Learning Cross-Window Cross-Modality Correlation-Aware Representation for Human Activity Recognition.

Deep learning (DL)-based human activity recognition (HAR) has attracted considerable attention owing...

Artificial intelligence (AI) in New Psychoactive Substances (NPS) analysis: state-of-art and future perspectives.

Analytical toxicology is a discipline of forensic toxicology which applies analytical techniques for...

Kinetics and Product Branching in Dihydrogen Activation by Gaseous Manganese Monoxide Cations.

The activation of dihydrogen by transition-metal monoxide cations (MO) in the gas phase offers valua...

The Impact of Genetic and Acquired Risk Factors on Thromboembolic Events: A Retrospective Study.

This study, involving a cohort of 980 patients with arterial and/or venous events, evaluated the rel...

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...

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...

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...

Assessment of drug induced hyperuricemia and gout risk using the FDA adverse event reporting system.

Hyperuricemia, the key pathological basis of gout, is increasingly prevalent worldwide. While lifest...

A real-world data analysis of montelukast in FDA Adverse Event Reporting System (FAERS) database.

BACKGROUND: Montelukast(MTK) is a leukotriene receptor antagonist widely used clinically for treatin...

Evaluation of changes in prediction modelling in biomedicine using systematic reviews.

The number of prediction models proposed in the biomedical literature has been growing year on year....