Clinical Trials

Impact of an AI prognostic tool on clinician performance in colorectal liver metastases.

While thousands of AI prediction models are published annually, few are adopted into routine practice, partly because improved statistical performance does not necessarily translate into meaningful impact on clinical decision-making. We conducted a prospective randomized multi-reader multi-case study to evaluate how a machine learning-based prognostic tool influences clinician performance in color...

Automated quantification of coronal balance in spinal deformity: a safety-aware clinical workflow.

The assessment of coronal balance is critical for cosmetic appearance and quality of life in patients with adolescent idiopathic scoliosis (AIS), yet its manual quantification remains constrained by substantial workflow demands and inherent subjectivity. While artificial intelligence has shown promise in automated Cobb angle measurement, robust and clinically safety-aware solutions for coronal bal...

EcoRxAgent: an AI agent for generating economically substitutable prescriptions.

The prescription is a critical bridge between medical diagnosis and therapeutic intervention, embodying a complex decision that balances medical evide...

Drug repurposing in Alzheimer's disease: Emerging therapeutic strategies and promising candidates.

Alzheimer's disease is a progressive neurodegenerative disorder, and the most common cause of dementia, which causes 60-70 % of cases worldwide, and i...

SRMMP-CharQM, Physics-Informed Deep Learning for Toxicity Prediction: Quantum Mechanical Descriptors Enable Scaffold Hopping in Mitochondrial Membrane Potential Assays.

Disruption of mitochondrial membrane potential (SR-MMP, Stress Response─Mitochondrial Membrane Potential) is a critical toxicity end point in early dr...

irAE-GPT: leveraging large language models to identify immune-related adverse events in electronic health records and clinical trial datasets.

BACKGROUND: Large language models (LLMs) have emerged as transformative technologies, revolutionising natural language understanding and generation ac...

Utilizing Deep Learning-based Computed Tomography Fractional Flow Reserve on Coronary Artery Disease Diagnosis and Treatment: 1-year Clinical Application From a Chinese Major Hospital.

PURPOSE: Machine learning-based coronary computed tomography fractional flow reserve (CT-FFR) holds great potential for assessing coronary ischemic st...

NQO1-Mediated Anoikis Resistance and Immune Evasion Define a High-Risk Multi-Omic Subtype for Precision Management of T1 High-Grade Bladder Cancer.

T1 high-grade (T1HG) bladder cancer represents an aggressive subset of non-muscle-invasive bladder cancer (NMIBC) with frequent Bacillus Calmette-Guér...

Enthusiasm and hesitation: a structural topic modelling analysis of long-acting injectable PrEP perceptions among Dutch-speaking MSM.

BACKGROUND: Long-acting injectable PrEP (LA-PrEP) is a novel HIV prevention modality recently approved in Europe, offering an important addition to HI...

How self-efficacy influences Chinese university students' GenAI dependency: A study of the mediating roles of social anxiety and rumination and the moderating role of mindfulness.

With the recent, rapid advancement of artificial intelligence (AI) technology, an increasing number of university students are relying on generative a...

Technology Matters: Emerging technologies in clinical informatics to support child and adolescent mental healthcare safety.

Electronic health records (EHRs) can support patient safety across medical settings but require thoughtful adaptation to serve specialty care. This ar...

Building Purpose-Driven Radiology Departments: Distributive and Servant Leadership in Action.

Radiology is increasingly defined by interdependence: imaging value is created through tightly coupled relationships among radiologists, technologists...

It Is the Journey, Not the Destination: Moving From End Points to Trajectories When Assessing Chatbot Mental Health Safety.

Large language models are rapidly becoming embedded in everyday life through artificial intelligence (AI) chatbots that people use for practical assis...

Two Phase Multi-Task Learning for Cybersickness Prediction and Adaptive Reduction.

Cybersickness, a motion sickness like discomfort, is a major barrier to the usability of virtual reality (VR) systems. While prior work has focused ma...

Deep Learning Driven Evaluation of MR-guided Focused Ultrasound Ablation.

OBJECTIVE: Magnetic resonance-guided focused ultrasound (MRgFUS) thermal therapy is a promising incisionless procedure for breast cancer treatment. fo...

Targeted Real-Time Assessment of Chronic Pain (TRAC-Pain) in Youth: Protocol for a Digital Biosignature Development Through a Prospective Observational Cohort Study.

BACKGROUND: Approximately 1 in 5 children and adolescents live with chronic pain, with musculoskeletal (MSK) pain being one of the most prevalent subt...

Evaluating a digital serious game for learning medical terminology in a randomized controlled trial.

Healthcare students often struggle with learning medical terminology due to its complexity and abstract nature. This randomized controlled trial asses...

AI Models for Surgical Decision Support in Spontaneous Intracerebral Hemorrhage: A Systematic Review in Relation to Trials and Guidelines.

Artificial intelligence (AI) applications for spontaneous intracerebral hemorrhage (ICH) are rapidly expanding, particularly in perioperative imaging ...

A machine learning approach to using ultrasound for body composition and nutritional status assessment in newborns: a pilot study protocol.

BACKGROUND: Accurate assessment of infant body composition, specifically fat and fat-free mass, is crucial for evaluating growth and nutritional statu...

The power of context: Enhancing repetitive transcranial magnetic stimulation effects through skillful behavior.

INTRODUCTION: Non-invasive neuromodulation techniques like repetitive transcranial magnetic stimulation (rTMS) have shown promise in treating psychopa...