Risk Management

Fast and robust q-space trajectory imaging using voxel-wise multilayer perceptrons for parameter estimation.

Q-space trajectory imaging (QTI) provides promising markers of tissue microstructure, but clinical translation requires shorter acquisitions, faster analysis, and more robust parameter estimation at high spatial resolution. To address these barriers, we trained a voxel-wise multilayer perceptron (MLP) to infer QTI-derived scalar parameters directly from the diffusion signal. We established referen...

Retrospective population-based cohorts for assessing the performance of algorithmic diabetes classification and for quantifying the true burden of type 1, type 2 and LADA phenotypes in Quebec: a study protocol.

INTRODUCTION: Diabetes affects 537 million people worldwide, with type 2 diabetes (T2D) estimated to account for most cases. Type 1 diabetes (T1D), latent autoimmune diabetes in adults (LADA) and other specific types due to other causes remain under-recognised, especially LADA, given the absence of a standardised definition. In the province of Quebec (Canada), no population-based prevalence and in...

Multi-task Deep Learning via UNETR for PSMA PET/CT Image for Prostate Cancer: Simultaneous Assessment of Prostate Cancer Disease Burden, Treatment Selection and Survival Outcomes.

Prostate-specific membrane antigen positron emission tomography/computed tomography (PSMA PET/CT) provides rich molecular imaging across the prostate ...

Machine learning for monitoring and assessment of potentially toxic elements in soils: a synthesis of spatial validation, explainability, and uncertainty.

Potentially toxic elements (PTEs) in soils pose persistent risks to ecosystems, groundwater, and food systems, creating a need for reliable spatial as...

Quality, transparency, and readability of AI chatbot responses for patient counseling in robot-assisted colorectal cancer resection: a cross-sectional evaluation.

Robot-assisted colorectal cancer resection (RACR) has emerged as a preferred surgical approach for mid-to-low rectal tumors, yet patients often strugg...

Speech-based relapse prediction in psychosis using explainable AI: Protocol for the international multicentre observational TRUSTING study.

INTRODUCTION: The course of psychotic disorders typically involves relapses. Early warning signs vary between individuals and are difficult to detect ...

Protocol for analyzing slow cortical dynamics in mouse neuronal recordings.

Temporal information processing is critical for brain function, supporting neural computations such as novelty detection, adaptation, and temporal nor...

Large Language Models as a New Tool for Therapists in Internet-Based Cognitive Behavioral Therapy: Blinded Clinician Rating Pilot Experiment.

BACKGROUND: Internet-based cognitive behavioral therapy (iCBT) is an effective and scalable alternative to face-to-face psychotherapy, but its reach i...

Improvement of Clinical Practice Guideline Appraisal by Human Experts and AI Agents by Using Structured Guidance: Systematic Review, Meta-Analysis, and Validation Study.

BACKGROUND: Rehabilitation clinical practice guidelines (CPGs) have increased rapidly, but inconsistent methodological quality limits their implementa...

Artificial intelligence in medicine: An ethical and legal review.

The integration of artificial intelligence (AI) and machine learning (ML) into medical practice marks a transformative shift within healthcare deliver...

Generative Artificial Intelligence Performance on University-Level Human Anatomy Examinations: A Structured Narrative Review and Proposed MATRIX-Anatomy Framework.

Generative artificial intelligence (GenAI) can perform strongly on written anatomy examinations, but whether such scores represent anatomical competen...

Automating Motivational Interviewing Coding in Adolescent Substance Use Prevention: Human-AI Agreement Study.

BACKGROUND: Motivational interviewing (MI) is widely used in preventive interventions, yet coding MI techniques and monitoring intervention adherence ...

The Impact of Digital Transformation on Nursing Professional Experience: Critical Interpretive Synthesis Review Developing the Fragmented Professional Transition in Nursing (FPT-N) Model.

BACKGROUND: Digital transformation through electronic health records (EHRs), telehealth, mobile health, and emerging AI has reshaped nursing work. Bey...

Automated Deep Learning Protocol for Quantifying Cell Viability in Live/Dead Fluorescence Microscopy.

The assessment of live/dead cells by means of fluorescence microscopy is a standard technique for assessing cell viability but relies on manual counti...

Breathing Life into Data: A Critical Review of Artificial Intelligence and Computational Modelling in COPD Precision Management.

The escalating global burden of chronic obstructive pulmonary disease (COPD) has outpaced the capacity of conventional management paradigms to deliver...

Target-biology and interactome-derived signatures predict target-level associations with safety-related drug attrition.

Clinical drug development suffers from high rates of toxicity-related failure despite the use of compound-centric preclinical safety screening, with a...

Comment on: "A comprehensive landscape of AI applications in broad-spectrum drug interaction prediction: a systematic review" (Marzouk et al., 2025).

Marzouk et al. reviewed 147 studies on artificial intelligence (AI) applications for predicting drug-drug, drug-disease, and drug-nutrient interaction...

Predicting Indwelling Catheter Duration in Spinal Cord Injury Patients With Neurogenic Bladder Using Machine Learning.

OBJECTIVE: To develop and validate interpretable machine learning (ML) survival models for predicting indwelling catheter time (ICT) in early-stage sp...

Deployer-side governance of medical imaging artificial intelligence: the regulatory readiness instrument (RRI-MI) for multi-jurisdictional and post-market compliance.

Artificial intelligence (AI) is transforming medical imaging and digital health, yet standard pre-market clearances evaluate algorithms under static, ...

MRI Evaluation of Axial Spondyloarthritis: From Early Diagnosis to Therapeutic Response Assessment.

Magnetic resonance imaging (MRI) has reshaped the evaluation of axial spondyloarthritis (axSpA), which comprises radiographic axSpA (historically anky...