IntroductionAccurate prediction of patient outcomes in clinical trials is crucial for the timely assessment of treatment efficacy. This study proposes a novel approach to predict

IntroductionThe main objective of this study is to assess the effects of chatbot persona and communication style on trust and intention to use for scheduling

BackgroundNurses frequently endure diminished sleep quality, sleeplessness, and psychological distress due to high-intensity shifts and persistent work pressure. Digital health interventions are increasingly utilised to

BackgroundSystematic reviews depend on manual data extraction and synthesis, which are time-consuming and prone to human error. Although large language models (LLMs) have the potential

Study objectivesTo evaluate and compare the performance of two proprietary frontier large language models (LLMs), ChatGPT-5 and Grok-4, on diagnostic reasoning and foundational knowledge tasks