Clinical Trials

AI-based chest X-ray prioritization in the lung cancer diagnostic pathway: the LungIMPACT randomized controlled trial.

Prioritizing artificial intelligence (AI)-detected imaging findings may reduce the time to diagnosis of lung cancer. This prospective, multicentre, randomized controlled trial tested whether immediate AI prioritization of primary care-requested chest X-rays (CXR) influenced time to computed tomography (CT) and lung cancer diagnosis, the primary outcomes. Secondary outcomes included the number of u...

Reimagining Brain Drug Delivery: Mechanistic and Translational Advances in Carbon Nanotube Nanomedicine.

Neurological and neurodegenerative disorders (NDDs) present ongoing therapeutic challenges attributed to the structural complexity of the central nervous system (CNS) and the restrictive properties of the blood-brain barrier (BBB), which inhibit the effective penetration of most drugs into the brain. Thus, carbon nanotubes (CNTs) possess a high aspect ratio, tunable surface chemistry, and exceptio...

Contemporary clinical incident analysis methods used within acute care settings: a scoping review.

OBJECTIVE: The objective of this review was to explore and synthesize the research on the use of contemporary incident analysis methods in acute care ...

Ethical AI innovation in healthcare and sustainable development in Bangladesh.

PURPOSE: This study examines how artificial intelligence (AI) innovation and ethical governance influence sustainable healthcare outcomes in Banglades...

Thrombopoietin receptor agonists in immune thrombocytopenia: a comparative review of mechanisms, efficacy, and the future of personalized management.

INTRODUCTION: Thrombopoietin receptor agonists (TPO-RAs) have reshaped the management of chronic immune thrombocytopenia (ITP) by directly targeting i...

Longitudinal and Multimodal Recording System to Capture Real-World Patient-Clinician Conversations for AI and Encounter Research: Protocol for an Observational Study.

BACKGROUND: The promise of artificial intelligence (AI) in medicine depends on its ability to learn from data that reflect what matters to patients an...

Evaluating Patient and Professional Satisfaction and Documentation Time Reduction Through AI-Driven Automatic Clinical Note Generation in Primary Care: Proof-of-Concept Study.

BACKGROUND: The workload that stems from writing clinical histories is one of the main sources of stress and overload for primary care professionals, ...

Learning from every patient: the 'outpatient innovation clinic'.

OBJECTIVES: To keep pace with rapid medical innovation, health care must be organized to enable systematic learning from every patient. The 'outpatien...

Ameliorative effect of Rhus verniciflua Stokes on high-fat diet-induced obesity and advanced analysis with machine learning and deep learning-based network pharmacology.

AIMS: Obesity and metabolic dysfunction-associated steatotic liver disease (MASLD) arise from impaired redox and energy homeostasis, yet current thera...

Using artificial intelligence to predict sexual health outcomes in endometriosis: a decision tree model algorithm.

BACKGROUND: Endometriosis profoundly impairs sexual function through complex interactions between pain, hormonal disturbances, psychological distress,...

Design quality and time efficiency of AI-based versus human-based design for tooth- and implant-supported fixed dental restorations: A systematic review.

OBJECTIVES: The purpose of this systematic review was to evaluate the design quality and time efficiency of fixed dental restorations generated by ful...

Impact of Computer-Aided Detection on Endoscopist's Gaze-Shift Distance During Colonoscopy: a Randomized Controlled Trial (With Video).

BACKGROUND AND AIM: Computer-aided detection (CADe) facilitates colorectal lesion detection, but it remains unclear whether CADe affects endoscopist's...

Listening in: Orthopaedic Oncology Physicians' Perspectives on Implementation of Audio Recording/Artificial Intelligence Assist in Office Visits.

INTRODUCTION: With rapid expansion of artificial intelligence (AI) in clinical documentation, responsible implementation of this tool is imperative in...

Enhanced smart commuting with artificial intelligence for intelligent health and safety monitoring in school buses.

This paper introduces ESC.AI (Enhanced Smart Commuting with Artificial Intelligence), an intelligent and integrated safety framework designed to impro...

Application of Artificial Intelligence in MedDRA Coding: A Practical Exploration from Clinical Data Management Perspective.

BACKGROUND: Traditional manual MedDRA coding in clinical data management (CDM) faces persistent challenges, including suboptimal site data quality, te...

Feasibility of a Large Language Model Chatbot to Support Parental Understanding in the PICU.

OBJECTIVES: To evaluate the feasibility of a large language model (LLM)-based chatbot for answering parental questions in the PICU and inform design o...

Evaluation of ChatGPT-4o as a text-based clinical decision support tool for junior otolaryngology residents: A randomized controlled trial.

A Therapeutic Conversational Agent (Solace) for Management of Chronic Pain: Acceptability and Usability Study.

BACKGROUND: Chronic pain is a critical cause of personal suffering and societal concern. However, treatment options remain inadequate, and access to e...

Machine Learning Methods for Estimating Personalized Treatment Effects-Insights on validity from two large trials.

Machine learning (ML) methods have the potential to improve precision medicine by estimating personalized treatment effects. However, formal validatio...

A Digital Intervention for Capturing Real-Time Health Data for Epilepsy Seizure Forecasting: Protocol for the ATMOSPHERE Study.

BACKGROUND: Epilepsy is a chronic neurological disorder marked by recurrent and apparently unpredictable seizures and associated with premature death,...