Artificial Intelligence Medical Compendium

PURPOSE: Diagnostics for urothelial carcinoma have low sensitivity, thereby negatively impacting diagnostic outcomes. Herein, we present BiovueUro, a machine learning-based urine DNA biomarker tool for urothelial carcinoma detection. We developed Bio... read more 

Artificial intelligence (AI)-based chatbots are increasingly employed in various fields of dentistry. However, their capability to interpret panoramic radiographs and classify impacted mandibular third molars has not yet been systematically evaluated... read more 

BACKGROUND: Warnings are commonly used to signal the fallibility of AI systems like ChatGPT in clinical decision-making. Yet, little is known about whether such disclaimers influence medical students' diagnostic behaviour. Drawing on the Judge-Adviso... read more 

Cystic bronchiectasis and pneumonia are respiratory conditions that significantly impact morbidity and mortality worldwide. Diagnosing these diseases accurately is crucial, as early detection can greatly improve patient outcomes. These diseases are r... read more 

AIM: This study compared the writing quality of AI- and student-authored essays, evaluated faculty members' reliability to differentiate between essays authored by AI and students, and assessed the scoring accuracy between human and AI raters using a... read more 

Health leaders are increasingly embracing Artificial Intelligence (AI) to enhance patient care, streamline operations, and support healthcare providers. But are they truly leading an AI-capable organization-one that can harness AI's full potential an... read more 

Speed enforcement cameras are implemented worldwide to regulate driving behaviours and enhance road traffic safety. Proper allocation of speed cameras is quite important. In practice, we should first identify road sites likely to experience larger cr... read more 

BACKGROUND: Large language models (LLMs) have demonstrated remarkable capabilities in various medical fields, yet their performance in thrombosis and hemostasis, particularly in patient education and complex clinical decision making, is unexplored. O... read more 

INTRODUCTION: There is an urgent need for rapid, high-throughput phenotypic antimicrobial susceptibility testing (AST) capable of assessing a microbial sample's susceptibility to multiple antibiotics. OBJECTIVES: In this study, we have established a ... read more 

OBJECTIVES: The integration of artificial intelligence (AI) in radiation therapy offers significant potential to enhance cancer care by improving diagnostic accuracy, streamlining workflows, and reducing treatment delays. However, the adoption of AI ... read more