Application of digital methods and artificial intelligence capabilities for diagnostics in obstetrics and gynecology

Cardiometry

article

Elvira R. Safiullina¹  Ekaterina I. Rychkova¹  Irina V. Мayorova¹  Diana Kh. Khairutdinova¹  Anna A. Slonskaya²  Anna S. Faronova¹  Yaroslava A. Davydova¹  Izobella A. Mussova² 

[1] Pirogov Russian National Research Medical University;RUDN University

关键词: Obstetrics;    Gynecology;    Diagnostics;    Digital methods;    Artificial intelligence;   

DOI  :  10.18137/cardiometry.2023.27.111117

学科分类：环境科学（综合）

来源: Russian New University

【 摘 要 】

The article analyzes the use of digital methods and artificial intelligence capabilities for diagnostics in the field of obstetrics and gynecology. The author notes that digital methods and artificial intelligence (AI) have a high potential for the diagnosis of gynecological diseases, since it can analyze medical images and other medical data with great accuracy and speed. For example, AI can help in the diagnosis of cervical cancer by identifying anomalies in digital images and screening tests. The use of AI can also help in the recognition of other gynecological diseases, such as endometriosis, uterine fibroids, polyps, etc. In addition, AI can help improve the efficiency and accuracy of diagnostics, as well as reduce the time required to process medical data. This can be especially important in cases where diagnosis needs to be done quickly in order to start treatment as early as possible. However, it should be noted that AI cannot completely replace the experience and expertise of doctors. Still, it can help doctors make more accurate diagnoses and develop more effective treatment strategies.

【 授权许可】

CC BY