Clinical Trials

Personalized Glucose Management With AI: Pilot Study Using a Multiarmed Bandit Approach.

BACKGROUND: Personalized behavioral recommendations through mobile apps have proven effective in pre...

Effectiveness of Al-Assisted Patient Health Education Using Voice Cloning and ChatGPT: Prospective Randomized Controlled Trial.

BACKGROUND: Traditional patient education often lacks personalization and engagement, potentially li...

Quantile regression forest-based early warning of Salmonella foodborne risk using multi-source food safety surveillance data.

Salmonella is one of the most common foodborne pathogens worldwide, with transmission closely linked...

From tool to teammate in a randomized controlled trial of clinician-AI collaborative workflows for diagnosis.

Early studies of large language models (LLMs) in clinical settings have largely treated artificial i...

Disseminating Health Prevention Programs Using AI-Crafted, Culturally Tailored Ads for Somali American Adolescents.

Recent advancements in artificial intelligence (AI) and digital health messaging present opportuniti...

DispatchMAS: fusing taxonomy and artificial intelligence agents for emergency medical services.

BACKGROUND: Emergency medical dispatch is a critical, high-stakes process where dispatcher decisions...

Artificial Intelligence-Assisted Lung Nodule Evaluation on Low-Dose Chest CT in Asymptomatic Individuals: A Prospective Randomized Controlled Trial.

Background: The impact of artificial intelligence (AI) tools for lung nodule evaluation on low-dose ...

Patient perspectives about deployment of artificial intelligence decision support tools in a safety-net healthcare system.

OBJECTIVES: To assess patient awareness, trust, perceived benefits, and risks of artificial intellig...

Managing maternity: Moving care, not patients, using artificial intelligence (AI), internet-of-things (IOT) and point-of-care testing (POCT) devices.

The integration of artificial intelligence (AI) into healthcare is accelerating and maternity care i...

Nanotoxicology meets smart polymers: advancing safety-by-design nanomaterials.

Smart polymers have played great role in enhancing nanomedical application areas in drug delivery, d...

Leveraging artificial intelligence to accelerate competency development in diagnostic reasoning of medical students.

INTRODUCTION: Diagnostic errors remain a critical patient safety concern, yet teaching diagnostic re...

Mirror Descent Safe Policy Optimization for Reinforcement Learning Agents.

Embodied intelligence and related disciplines have identified several mechanisms that help embodied ...

Integrating Large Language Models Into Trauma Education for Medical Students: Randomized Controlled Pilot Trial.

BACKGROUND: The exponential growth of medical knowledge presents a paradox for modern medical educat...

Molecular and Pharmacogenetic Marker Evaluation in Relation to the Toxicity and Clinical Response of Acute Lymphoblastic Leukemia Treatment in Indian Children (MPGx-INDALL): Protocol for a Prospective Observational Cohort Study.

BACKGROUND: Understanding interindividual variability in treatment response and toxicity is essentia...

Disclaimers and Referral Patterns for Medical Advice Across Urgency Levels: Large Language Model Evaluation Study.

BACKGROUND: "I'm not a doctor, but..." is a typical response when asking considerate laypeople for h...

Relying on AI at work reduces self-efficacy, ownership, and meaning while active collaboration mitigates the effects.

Artificial intelligence (AI) promises major productivity gains, but it also raises fundamental quest...

The economic imperative of artificial intelligence in maternal and neonatal health: a review of evaluation benefits, frameworks, challenges, future perspectives, and limitations.

Integrating artificial intelligence (AI) into maternal and neonatal health (MNH) offers significant ...

Individualized treatment effects of CPAP on secondary cardiovascular outcomes in non-sleepy obstructive sleep apnea patients.

BACKGROUND: Continuous positive airway pressure (CPAP) remains the cornerstone of therapy for obstru...

Artificial intelligence and the future of inflammatory bowel disease trial recruitment: from bottleneck to breakthrough.

Advancing Global Drug Safety: Challenges and Future Perspectives in Pharmacovigilance.

Adverse Drug Reactions (ADRs) pose significant challenges to patient safety, healthcare systems, and...

Language-Related Functional Connectivity in Post-Stroke Aphasia: Preliminary Findings from a Graph-Theoretical and Interpretable Machine Learning Study.

PURPOSE: To have an insight into language-related functional connectivity in post-stroke aphasia (PS...