ARTIFICIAL INTELLIGENCE IN THE DIAGNOSIS OF ENDOMETRIAL PATHOLOGY: CURRENT STATE AND PROSPECTS
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Abstract:
In recent years, artificial intelligence has been regarded as one of the key tools for improving the accuracy and reproducibility of medical diagnostics. In gynecology, the greatest progress has been achieved in ultrasound diagnostics, digital pathology, and reproductive medicine, whereas the application of artificial intelligence in hysteroscopic diagnosis of endometrial pathology remains limited. This article presents a review of current scientific data from the last 5–10 years on the use of artificial intelligence algorithms in the diagnosis of endometrial pathology, including hyperplastic processes, polyps, and endometrial cancer. The historical stages of the introduction of computational technologies into medicine and gynecology, the main areas of application of artificial intelligence, the achieved results, and existing limitations are considered
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