BACKGROUND: Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains challenging in some cases.
BACKGROUND: This study investigated whether ChatGPT 4o could accurately estimate the difficulty of medical assessment items by comparing its predictions with empirically-derived parameters from multistage testing simulations.
BACKGROUND: The increasing use of real-time health data from wearable devices and self-reported questionnaires offers significant opportunities for preventive care in aging populations. However, current health data platforms often lack built-in mecha...
BACKGROUND: Multiple-choice questions (MCQs) are essential in medical education for assessing knowledge and clinical reasoning. Traditional MCQ development involves expert reviews and revisions, which can be time-consuming and subject to bias. Large ...
Cancer molecular subtype classification is an essential component of precision oncology which provides insights into cancer prognosis and guides targeted therapy. Despite the growing applications of AI for cancer molecular subtype classification, cha...
Cardiovascular disease is the leading global cause of death, underscoring the need for accurate assessment of myocardial injury. The current gold standard, bright-blood late gadolinium enhanced MRI, suffers from poor contrast at the blood-scar interf...
BACKGROUND: Assessment of medical information provided by artificial intelligence (AI) chatbots like ChatGPT and Google's Gemini and comparison with international guidelines is a burgeoning area of research. These AI models are increasingly being con...
INTRODUCTION: This study aimed to develop and validate the Artificial Intelligence and Academic Writing Questionnaire (AI-AWQ) to assess participants' perceptions with AI. The primary focus was to explore the factors that influence attitudes toward A...
BACKGROUND: The rapid rise of AI in medical and pharmaceutical education has engendered much interest; however, a knowledge gap still exists in the evaluation of performances of these tools in critical academic contexts.
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