Abstract:

With the rapid development of artificial intelligence (AI) in the medicine field, the application of AI in obstetrics and gynecology is increasing. This review summarizes the progress in the application of AI in obstetrics and gynecology in the past decade, covering gynecology, obstetrics, reproductive medicine, surgery, education and research innovation. AI technology has achieved remarkable achievements in the fields of screening and diagnosis of gynecological tumors, treatment response assessment, patient care, and medical big data management, with its applications gradually expanding in diagnosing obstetric and gynecological diseases. The primary functions encompass image recognition and analysis, data mining, genomics and metabolomics research, and laboratory evaluations. Integrating AI into the obstetrics and gynecology education system can help enhance teaching efficiency and learning experience. AI-assisted laparoscopic skills training and operating room management have opened up new avenues for advancing surgical skills and deepening of clinical practice in obstetrics and gynecology. However, the extensive adoption of AI has also brought challenges, such as the bias and variability of datasets, privacy protection of patient, the transparency of machine learning models, and the potential dilution of traditional medical knowledge. To address these challenges, it is necessary to improve AI regulatory policies, promote multidisciplinary collaboration, and build large-scale datasets. Through these strategies, AI technology can be expected to fulfil greater potential in obstetrics and gynecology and provide higher quality medical services to patients.

Key words: Artificial intelligence, Deep learning, Obstetrics and gynecology, Humanistic care, Doctor-patient communication