The Application of Artificial Intelligence in Breast Cancer
Nahid Nafissi, Naeimeh Heiranizadeh, Ahmad Shirinzadeh-Dastgiri, Mohammad Vakili-Ojarood, Amirhosein Naser, Mahsa Danaei, Ali Saberi, Maryam Aghasipour, Amirmasoud Shiri, Maryam Yeganegi, Amirhossein Rahmani, Hossein Neamatzadeh
Abstract
The utilization of artificial intelligence (AI) in the detection and treatment of breast cancer is attracting attention. AI technologies are crucial in shaping the future of breast surgery and enhancing healthcare services. Deep learning algorithms show promise in accurately detecting breast cancer from mammograms and clinical data, even predicting the risk of interval and advanced cancers. When combined with breast density measurements, AI imaging algorithms can predict invasive breast cancers, particularly in later stages. AI-based methods can also forecast breast cancer from ultrasound scans, improving malignancy detection. Genetic testing with AI assists in identifying individuals at high risk for breast cancer based on genetic profiles, enabling personalized screening and prevention strategies. AI tools support pathologists in analyzing tissue samples for breast cancer indications, enhancing diagnoses. The integration of AI in breast cancer detection and prediction has the potential to revolutionize oncology and improve patient care. This review offers a thorough analysis of previous academic studies on the use of AI in breast cancer.