ხელოვნური ინტელექტით აღჭურვილი სისტემა საშვილოსნოს ყელისა და სარძევე ჯირკვლის სიმსივნეების დიაგნოსტირებისათვის

Abstract

Diagnosing the tumor at an early stage is important because the patient can be treated in a timely and effective manner. Currently, the most common methods of diagnosis are magnetic resonance and computer tomography. Diagnosing a tumor with routine tests is a novelty, and it is important to have a more serious and accurate analysis of the results of blood tests in order to find evidence of specific tumor growth in the body. Today, scientists are increasingly using artificial intelligence methods to solve this type of problem. The computer system that we created for the diagnosis of cervical cancer, which is based on artificial intelligence, namely, machine learning, is discussed. The system diagnoses using routine tests and is distinguished by fairly high accuracy. We think that this model will help clinicians to identify cancers and diagnose the disease in a timely manner.