Risk Management

Multimodal imaging to analyze the biomechanical properties of kidney tumors, evaluating feasibility, inter-modality correspondence, and diagnostic value (UroCCR-115).

INTRODUCTION: Assessment of renal tissue and renal tumor stiffness may provide complementary information for tissue characterization; however, conventional imaging modalities such as multiphasic computed tomography (CT) do not directly quantify biomechanical properties. Elastography techniques, including magnetic resonance elastography (MRE) and ultrasound elastography (US-E), allow noninvasive me...

Naturally derived excipients in injectable nanomedicines: a systematic review of pharmacokinetic performance, regulatory readiness, and future quality by design perspectives.

INTRODUCTION: Naturally derived excipients such as lecithin, chitosan, and hyaluronic acid offer biocompatibility for injectable nanomedicines, although material variability may limit clinical translation. This systematic review evaluated pharmacokinetic performance alongside regulatory and quality gaps. METHODS: PubMed, Scopus, Web of Science, and Embase (2002-2025) were searched for nanocarriers...

CODAvision: best practices and a user-friendly interface for rapid, customizable segmentation of medical images.

Image-based machine learning tools are powerful resources for analyzing medical images, with deep learning-based semantic segmentation commonly utiliz...

Domain-Specific Transfer Learning for Gastric Cancer Tissue Classification.

Gastric cancer is the fifth most diagnosed cancer worldwide and is the fifth most deadly. An essential part of the diagnosis and prognosis of cancer i...

Task-shifting to nonexperts using artificial intelligence-guided point-of-care ultrasound: a cohort study of patient selection, image quality, and learning curves.

AIMS: To define rates of diagnostic image acquisition, clinical drivers of image quality and the learning curve for artificial intelligence (AI)-guide...

M-JEPA: Predictive Self-Supervised Learning for Molecular Graphs with Scaffold-Shift Evaluation on Tox21.

Self-supervised molecular representation learning can improve transfer on label-limited property prediction tasks, but contrastive objectives are sens...

Navigating Acceptability: A Think-Aloud Study of Subjective and Contextual Factors in Radiographic Image Rejection.

INTRODUCTION: Radiographic image quality is evaluated based on technical and anatomical criteria; however, this study investigates how radiographers i...

Multifunctional meat packaging in the digital era: a scoping review of innovations, gaps, and future pathways.

The packaging of meat products is undergoing transformation driven by increasing demands for safety, quality, traceability, and sustainability. Conven...

Artificial Intelligence-Assisted Screening for Patients With Diabetic Retinopathy and Age-Related Macular Degeneration in Family Medicine and Geriatric and Gerontology Care: Protocol for a Pragmatic Randomized Clinical Trial.

BACKGROUND: Diabetic retinopathy (DR) and age-related macular degeneration (AMD) are 2 of the leading causes of vision loss worldwide. As population a...

Explainable AI for employee turnover prediction: a SHAP-based intelligent analytics approach.

Employee turnover prediction is a critical challenge in human resource management. Existing studies emphasise predictive accuracy but generally treat ...

Securing Safety and Quality in AI-generated Patient Education: A Nurse-led Methodological Framework Integrating Kolcaba's Comfort Theory.

Generative artificial intelligence offers personalized patient education, yet clinical inaccuracy and lack of theoretical grounding threaten health ca...

[The application of artificial intelligence in healthcare: benefits, challenges, and issues of responsibility].

INTRODUCTION AND OBJECTIVE: Artificial intelligence is playing an increasingly important role in healthcare, particularly in diagnostics, clinical dec...

AI integration in pediatric radiology: perspectives from international academic leaders.

OBJECTIVE: Artificial intelligence (AI) is increasingly integrated into radiology, but pediatric imaging remains underrepresented in implementation st...

Pediatric precision sleep network: a study protocol for identifying sleep signatures of mental health risk in peri-adolescents.

BACKGROUND: Peri-adolescence (ages 10-13) is a sensitive-and clinically critical-developmental window for the emergence of psychiatric symptoms, yet s...

Machine Learning-Based Predictive Model for Functional Independence in Spinal Cord Injury: Protocol for a Predictive Rule Development and Validation Study.

BACKGROUND: Spinal cord injury (SCI) causes substantial disability by disrupting spinal pathways, making functional independence a central rehabilitat...

Evaluation and Comparison of Latent Health Risk Prediction Models for Clinical Triage: Protocol for a Mixed Methods Study.

BACKGROUND: Clinical triage requires integrating multiple information sources to identify patients at risk of deterioration. Tools capturing global he...

Development of a human-artificial intelligence collaboration-based storybook series for understanding epilepsy and supporting self-management.

Epilepsy is a chronic condition that requires ongoing self-management, including medication adherence, trigger control, lifestyle regulation, and psyc...

New challenges in medical law. Patient-doctor relationship, informed consent and medical civil liability in the era of AI.

Change isn't something new to Medicine. Since the beginning of times, Medicine has been forced to, progressively, adapt according to scientific, biolo...

A randomized controlled trial evaluating the use of an intelligent, fully automated 2D imaging system to detect lame cows and control lameness.

A fully automated 2-dimensional imaging system that uses machine learning to produce real-time mobility scores has been developed and previously exter...

Artificial Intelligence-Mediated Discharge Document for Accessible Health Care (AIM-HEALTH): Protocol for a Prospective, Observational, Noninterventional Study.

BACKGROUND: Hospital discharge reports (HDRs) support continuity of care; yet, their specialized terminology may hinder patient understanding and post...