Clinical Trials

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 Bangladesh, with patient trust and perceived safety acting as mediators and digital and health literacy serving as moderating conditions. DESIGN/METHODOLOGY/APPROACH: A qualitative research design was employed, using semi-structured interviews with five purpo...

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 impaired platelet production, a mechanism previously overshadowed by immune-mediated destruction. The three approved agents - romiplostim, eltrombopag, and avatrombopag - all stimulate the c-Mpl receptor but differ in their molecular interactions, pha...

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...

Dual contrastive learning with graph masking: A self-supervised framework for multi-view clustering.

Graph-based deep multi-view clustering has recently emerged as a prominent research paradigm, driven by its efficacy in modeling nonlinear feature rel...

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,...

ChatGPT versus UpToDate in Preclinical Medical Education: Cross-Sectional Analysis Using Term Frequency-Inverse Document Frequency Cosine Similarity.

BACKGROUND: Generative artificial intelligence tools such as ChatGPT are increasingly used by medical students for self-directed learning. Although th...

Effect of a clinical decision support system on stroke care quality and outcomes in patients with acute ischaemic stroke (GOLDEN BRIDGE II): cluster randomised clinical trial.

OBJECTIVE: To evaluate the efficacy of a clinical decision support system (CDSS) on stroke care quality and clinical outcomes among patients with acut...

AI-driven design of antimicrobial peptide for combating resistance and infectious diseases.

The growing threat of antimicrobial resistance, coupled with the challenges of developing new antibiotics, demands innovative therapeutic solutions. A...