Risk Management

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 disease is essential for appropriate treatment selection. Multiparametric MRI (mpMRI) and the Vesical Imaging-Reporting and Data System (VI-RADS) have emerged as key tools for standardizing local staging of bladder cancer; however, their clinical upt...

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 and reproducible reporting of foundation model (FM) and large language model (LLM) studies in medical research, including imaging artificial intelligence (AI) applications. METHODS: The protocol was prespecified and publicly archived. A modified Delphi...

Applications of artificial intelligence for real-world evidence generation: a protocol for a living scoping review.

INTRODUCTION: Artificial intelligence (AI) is rapidly evolving, offering an expanding suite of capabilities that go beyond the traditional focus on pr...

Exploring stress and coping among black women in early midlife with elevated blood pressure in a safety-net health system: a qualitative focus group protocol.

INTRODUCTION: Black women in early midlife experience disproportionate exposure to stress and elevated cardiovascular risk, including hypertension. De...

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...

Scalable Agile Framework for Execution in AI for Medical AI Ethics Policy Design in Small- and Medium-Sized Enterprises.

Artificial intelligence (AI) is transforming patient care, but it also raises ethical questions, such as bias and transparency. While a range of well-...

Machine-learning algorithms for detecting intracranial hemorrhage on head computed tomography.

This is a protocol for a Cochrane Review (diagnostic). The objectives are as follows: The primary objective of this review is to determine the diagnos...

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...

Financial impact of deep learning reconstruction in magnetic resonance imaging: experiences after widespread deployment.

PURPOSE: To evaluate the impact of deep learning reconstruction (DLR) on MRI productivity at a tertiary care academic hospital, and to validate a prev...

Ethical and legal challenges of integrating artificial intelligence into paediatric surgery.

INTRODUCTION: Artificial intelligence (AI) technologies are increasingly being trialled with applications spanning imaging, robotic assistance and ear...

Vocal biomarkers for geriatric health assessment: a scoping review protocol.

INTRODUCTION: Global ageing populations require accessible, non-invasive tools for early detection and monitoring of neurological chronic and neurodeg...

AI-Based STroke Risk fActor Classification and Treatment (ABSTRACT) study.

BACKGROUND: Stroke is a leading cause of death and disability worldwide, costing the UK approximately £26 billion annually. While lifestyle modificati...

Development and proof-of-concept of a treatment target recommendation algorithm in the context of cognitive processing therapy.

Background: Cognitive Processing Therapy (CPT) is an effective, widely supported treatment for PTSD, but patient response varies considerably. Optimal...

Cardiac Magnetic Resonance Scan Efficiency.

Accelerated 30 min cardiac magnetic resonance (CMR) examinations combining cutting-edge acquisition, reconstruction, and workflow methods have the pot...

Automated Gating of CD34+ Cells in Cord Blood: Performance Evaluation of a Machine Learning-Based ISHAGE Protocol.

Precise quantification of cellular subsets is fundamental for qualifying grafts and supporting emerging therapies. CD34+ enumeration in cord blood usi...

Human in the loop artificial intelligence in healthcare: applications, outcomes, and implementation challenges.

BACKGROUND: The integration of artificial intelligence in healthcare has transformed clinical practice and research methodologies. However, concerns r...

How Simple Can a Treatment for Early Stuttering Be? A Proposed Two-Factor Early Intervention.

PURPOSE: In this clinical focus article, we draw attention to the need for immediate intervention shortly after stuttering onset. More than half of st...

Analysis of Associated Factors and Construction of Risk Prediction Models for Frailty in Hospitalized Older Adults Living With HIV: Protocol for a Prospective Observational Study.

BACKGROUND: The aging trend of people living with HIV or AIDS in China is increasing day by day. Frailty is a common condition among older adults livi...

Neurofeedback for autism spectrum disorder: Current evidence, challenges, and future directions.

Neurofeedback therapy (NFT) has emerged as a promising noninvasive intervention for autism spectrum disorder (ASD), targeting core symptoms such as so...

Rational Construction of a Cu-Cu2O-CuHCF Heterojunction Interface for High-Performance Potassium-Ion Sensing.

The deployment of potassium ion (K+) sensors in demanding environments, such as marine resource utilization, energy storage systems, and industrial pr...