The Application of Artificial Intelligence in Breast Cancer
Nahid Nafissi1, Naeimeh Heiranizadeh2, Ahmad Shirinzadeh-Dastgiri3, Mohammad Vakili-Ojarood4, Amirhosein Naseri5, Mahsa Danaei6, Ali Saberi7, Maryam Aghasipour8, Amirmasoud Shiri9, Maryam Yeganegi10, Amirhossein Rahmani11, Hossein Neamatzadeh121Department of Breast Surgery, Iran University of Medical Sciences, Tehran, Iran, 2Department of Surgery, Shahid Sadoughi University of Medical Sciences Faculty of Medicine, Yazd, Iran, 3Department of Surgery, Iran University of Medical Sciences Faculty of Medicine, Tehran, Iran, 4Department of Surgery, Ardabil University of Medical Sciences Faculty of Medicine, Ardabil, Iran, 5Department of Colorectal Surgery, AJA University of Medical Sciences, Tehran, Iran, 6Department of Obstetrics and Gynecology, Iran University of Medical Sciences, Tehran, Iran, 7Department of General Surgery, Iran University of Medical Sciences Faculty of Medicine, Tehran, Iran, 8Department of Cancer Biology, University of Cincinnati Faculty of Medicine, Cincinnati, OH, USA, 9Student Research Committee, Shiraz University of Medical Sciences Faculty of Medicine, Shiraz, Iran, 10Department of Obstetrics and Gynecology, Iranshahr University of Medical Sciences, Iranshahr, Iran, 11Department of Plastic Surgery, Iranshahr University of Medical Sciences, Iranshahr, Iran, 12Mother and Newborn Health Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran,
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 al gorithms 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 sup port 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. Keywords: Artificial intelligence, breast cancer, deep learning, mammography, pathology
Cite This Article
Nafissi N, Heiranizadeh N, Shirinzadeh-Dastgiri A, Vakili-Ojarood M, Naseri A, Danaei M, et al. The Application of Artificial Intelligence in Breast Cancer. EJMO. 2024; 8(3): 235-244
Corresponding Author: Naeimeh Heiranizadeh