Artificial Intelligence Medical Compendium

IntroductionThis study aimed to examine the effect of individuals' anxiety toward AI-based health technologies on their attitudes toward the use of telemedicine services and to determine the mediating role of online privacy perception in this relatio... read more 

Accurate prediction of nucleic acid-binding sites is essential for understanding protein function and facilitating drug discovery. However, current computational methods are limited by single-layer language model representations, Cα point clouds that... read more 

Evidence synthesis (ES) is costly and time-intensive. Artificial intelligence (AI) tools are increasingly used to automate or semi-automate ES tasks. We conducted a living rapid review of AI tools that automate or semi-automate ES tasks. We searched ... read more 

INTRODUCTION: Little is known about how medical students use generative AI in research training or how supervisors respond. Using Cultural-Historical Activity Theory (CHAT), this study aimed to characterise how generative AI is reshaping the activity... read more 

OBJECTIVE: To critically evaluate the current evidence regarding the application of generative artificial intelligence (GenAI) in oncology patient counselling, with particular emphasis on oncology pharmacy practice, and to distinguish direct oncology... read more 

BackgroundAI-driven healthcare monitoring systems are increasingly being developed to support elderly individuals through continuous and discreet monitoring of routine behavioral patterns.ObjectiveThis study aims to develop a multimodal framework for... read more 

BackgroundPostoperative delirium is a serious complication in elderly ICU patients after gastric surgery, increasing mortality and healthcare burden. Early identification of high-risk patients may support timely prevention and optimise perioperative ... read more 

BackgroundCongestive heart failure (CHF) is one of the main causes of cardiovascular morbidity and mortality. While conventional machine learning (ML) models demonstrate acceptable classification results, their operation is typically based on a black... read more 

BackgroundAI-based chatbots are increasingly used for health information, while cross-linguistic studies suggest that response performance may vary by language. Given the high prevalence of carpal tunnel syndrome (CTS), this study evaluated the relia... read more 

INTRODUCTION: This paper reports the development and application of an artificial intelligence (AI)-led approach to large volume MRI data curation and image segmentation of periprostatic adipose tissue (PPAT) in prostate cancer (PCa)-free men from th... read more