AI-DRIVEN PRECISION ONCOLOGY: AN EXPERT SYSTEM FOR BREAST CANCER DIAGNOSIS AND PERSONALIZED TREATMENT

Abstract

Breast cancer is the most common cancer among women worldwide. Traditional approaches to breast cancer diagnosis and treatment are often one-size-fits-all, but precision oncology offers the potential to tailor treatment to the individual patient. AI-driven precision oncology can help to improve the accuracy of breast cancer diagnosis, predict the risk of recurrence, and develop personalized treatment plans. This paper presents an expert system for breast cancer diagnosis and personalized treatment that is based on AI. The expert system uses a variety of machine learning algorithms to analyze patient data, including clinical data, genomic data, and imaging data. The expert system can be used to diagnose breast cancer with high accuracy, predict the risk of recurrence and develop personalized treatment plans. The expert system has been evaluated on a large dataset of breast cancer patients. The results show that the expert system can achieve high accuracy in diagnosing breast cancer and predicting the risk of recurrence. The expert system can also be used to develop personalized treatment plans that are tailored to the individual patient.