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

Abstract

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.