Polycystic ovary syndrome(PCOS)is the most common endocrine disease in women of reproductive age,and it is also the main cause of infertility.It involves complex physiological and clinical features,and its high heterogeneity brings challenges to its diagnosis and treatment.How to improve the efficiency of PCOS research,the early diagnosis rate of the disease,formulate personalized treatment plans according to the various symptoms and physiological characteristics of patients,and the prediction of complications risk have become urgent problems to be solved in the field of PCOS research.As an emerging technology,artificial intelligence (AI)has been widely concerned and applied in the medical field in recent years.Based on its powerful data processing ability,it can efficiently analyze the patient's personal health data and design algorithm models to solve the above problems.How to apply AI to the basic research and clinical diagnosis and treatment of PCOS has become a close concern for researchers.This article summarizes the various applications of AI in PCOS research in the past five years,looks forward to the future development direction,and helps the early prevention,accurate diagnosis and personalized treatment of PCOS.
关键词
人工智能/多囊卵巢综合征/基础研究/临床诊疗
Key words
Artificial intelligence/Polycystic ovary syndrome/Basic research/Clinical diagnosis and treatment
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