Under the patronage of the Dean of the College of Science for Women , Prof. Dr. Sameera Naji Khdim, the Department of Computer Science, in cooperation with the Continuing Education Unit, organized a scientific course entitled (Artificial Intelligence Algorithms Used in Breast Cancer Prediction) presented by M.r. Zaid Sadiq Ne’mah, M.s. Israa Majeed Hamid.
The course aimed to provide a comprehensive overview of how artificial intelligence techniques are applied in the medical field, especially in diagnosing breast cancer and clarifying the basics on which artificial intelligence relies in medicine, where machine learning and deep learning techniques are used to analyze medical data, including X-rays, magnetic resonance imaging, and other clinical data. These algorithms are used to provide accurate and rapid diagnoses, which helps doctors detect cancer in its early stages and thus improve recovery rates. One of the most prominent algorithms used in breast cancer prediction is machine learning, where models are trained on huge data sets containing different disease conditions, such as medical images and clinical reports, in addition to applying classification algorithms such as support machine algorithms and deep learning to analyze the large data set. These algorithms classify medical images into different categories, which helps determine whether the tumor is malignant or benign. Future innovations that may occur in this field were addressed, such as the use of artificial intelligence to integrate and analyze data that may provide additional insights into breast cancer prediction, which enhances the ability to detect the disease in its early stages and improves the speed of treatment. This course achieves one of the sustainable development goals represented by the third goal, which calls for good health and promoting well-being for all
