Evaluating the Effectiveness of Artificial Intelligence (AI) Algorithms in Breast Cancer Diagnosis with Mammography

This study explores the effectiveness of artificial intelligence (AI) algorithms in diagnosing breast cancer using mammography. The proposed method delves into exploring the diagnostic capabilities of mammography in detecting breast cancer, along with the impact of integrating artificial intelligence, specifically artificial neural networks, in the diagnostic process. The researchers use a comprehensive dataset of mammography images and clinical data to train and validate the AI algorithms. The algorithms are designed to analyse mammograms and identify suspicious lesions that may indicate breast cancer. The performance of the algorithms is compared to diagnoses made by experienced radiologists, and the preliminary results show that the AI algorithms achieve comparable or better accuracy in diagnosing breast cancer. The study concludes that AI algorithms have the potential to enhance the accuracy and efficiency of breast cancer diagnosis, and further research is needed to integrate these algorithms into clinical practice for early and accurate detection of breast cancer.