Frontiers in artificial intelligence

Ovarian cancer (OC) remains a major global health challenge due to its asymptomatic progression and the lack of reliable diagnostic tools. Recent advances in artificial intelligence (AI) offer promising opportunities to enhance diagnostic a…

INTRODUCTION: To assess and compare the accuracy, readability, and overall performance of large language models (LLMs) in answering questions about functional hypothalamic amenorrhea (FHA) for patients and healthcare professionals. METHODS…

This retrospective study evaluates the effectiveness of artificial intelligence (AI) models and integrated scoring systems in assessing endometrial receptivity during in vitro fertilization (IVF). We combine AI-driven image analysis for aut…

This study addresses the research problem of enhancing In-Vitro Fertilization (IVF) success rate prediction by integrating advanced machine learning paradigms with gynecological expertise. The methodology involves the analysis of comprehens…

Despite large investment cancer continues to be a major source of mortality and morbidity throughout the world. Traditional methods of detection and diagnosis such as biopsy and imaging, tend to be expensive and have risks of complications.…