Identifying and Reporting Dependent Adult abuse

Artificial intelligence in preterm birth prediction: a narrative review of current approaches and clinical applicability.

Preterm birth remains the leading cause of neonatal morbidity and mortality worldwide, affecting approximately 13.4 million births annually. Despite advances in our understanding of risk factors, current clinical prediction methods have demonstrated limited accuracy in individual risk stratification. This narrative review examines the current landscape of artificial intelligence (AI) applications ...

Digital Technologies That Support Meaningful Connections in Care Homes: Scoping Review.

BACKGROUND: Meaningful connections in which people feel valued, seen, and heard are essential for social health and well-being. However, individual, systemic, and structural barriers exist within care homes that exacerbate risks for social isolation in this population. Leveraging digital technology to promote meaningful connections has the potential to affect positive health outcomes; however, the...

Ecological and socioeconomic factors associated with globally reported tick-borne viruses.

BACKGROUND: Public health resources are often allocated based on reported disease cases. However, for under-recognized infectious diseases such as tic...

Adverse reactions of PD-1/PD-L1 inhibitors in cancer: FAERS database analysis and protocols to mitigate immune-related events in elderly patients and when using pembrolizumab and atezolizumab.

OBJECTIVE: This study aimed to characterize adverse drug reactions (ADRs) associated with programmed death-1/programmed death-ligand 1 (PD-1/PD-L1) in...

Digital Skills Assessments in Occupational Therapy: A Scoping Review.

IMPORTANCE: Digital skills are increasingly essential in performing daily activities. Occupational therapy practitioners require valid and accessible ...

Quantitative evaluation of a deep learning-based noise reduction algorithm in digital radiography using noise power spectrum analysis.

BACKGROUND: Recently, deep learning (DL)-based noise reduction (DLNR) has been introduced in clinically used digital radiography (DR) systems, reporti...

ChatGPT, Gemini, and Claude in clinical and dermoscopic image analysis of basal cell carcinoma and its common mimickers: A comparative performance analysis.

Basal cell carcinoma (BCC) is the most common skin cancer. Off-the-shelf multimodal large language models are widely accessible, yet their performance...

Leveraging Machine Learning to Understand the Link Between School Climate and Youth Substance Use: a Focus on Cannabis and Alcohol Use.

This paper focuses on school climate indicators, which have been previously linked with aspects of students' well-being and school-related success, to...

Beyond hype: Adoption and attitudes toward generative AI among Indonesian medical physicists.

PURPOSE: To evaluate adoption patterns and attitudes toward generative AI-particularly large language models (LLMs) such as ChatGPT-among medical phys...

Artificial intelligence-assisted statistical analysis and statistical review: evidence (2023-2025) and implications for internal medicine.

Clinical research published in internal medicine journals relies heavily on statistical analysis and quantitative inference, making the quality of sta...

Impact of quality routine health data utilisation on health service delivery outcomes in low-income and middle-income countries: a systematic review protocol.

BACKGROUND: Evidence-based decision-making in healthcare relies heavily on routine health information. However, in many low-income and middle-income c...

Artificial Intelligence Applications for Automated Data Extraction and Secondary Use of Clinical Information in Uro-oncology: A Systematic Review.

BACKGROUND AND OBJECTIVE: Manual data extraction is a major bottleneck in uro-oncology, limiting research and quality assurance. Although artificial i...

Current Status and Future Perspective for Bladder Cancer MR Imaging and the Vesical Imaging-Reporting and Data System (VI-RADS) in Japan: Challenges and Solutions.

Bladder cancer carries one of the highest lifetime costs among malignancies, and accurate distinction between non-muscle-invasive and muscle-invasive ...

Reporting checklist for foundation and large language models in medical research (REFINE): an international consensus guideline.

PURPOSE: To develop the REporting checklist for FoundatIon and large laNguagE models (REFINE), an international reporting guideline for transparent an...

AI-Enabled Wearables for Motor Function Assessment and Rehabilitation in Parkinson Disease: Scoping Review.

BACKGROUND: Artificial intelligence (AI)-enabled wearable devices are rapidly emerging in rehabilitation and motor function assessment for patients wi...

Assessing the completeness of reporting in imaging studies using artificial neural network models for cancer diagnosis: Adherence to the TRIPOD-AI guideline.

BACKGROUND: Developments in artificial neural networks (ANNs) offer significant promise for cancer screening and risk prediction, with the potential t...

Data mining in pediatric radiology in the era of artificial intelligence.

Data mining is the systematic process of extracting useful knowledge from large multimodal datasets and is increasingly enabled by artificial intellig...

AI-Enabled Smart Glasses for Active Aging: Scoping Review.

BACKGROUND: The daily use of digital technologies is transforming the day-to-day lives of older adults. Among these technologies, artificial intellige...

A Novel Hybrid Large Language Model Approach for Reporting Panoramic Radiographs and Performance Comparison with Current Large Language Models.

Large language models (LLMs) show potential in clinical reporting, yet current multimodal systems remain unreliable for interpreting panoramic radiogr...

Generative artificial intelligence in dementia care: a scoping review protocol on nursing roles, experiences and ethical perspectives.

INTRODUCTION: Generative artificial intelligence (GAI), including large language models and multimodal generative systems, is rapidly emerging in heal...