The Continuing Education Center at Al-Mustaqbal University Holds an Online Workshop Titled "Artificial Intelligence and Breast Cancer Detection" in Collaboration with Mansoura University and the College of Medical and Health Technologies

Under the patronage of the Honorable President of Al-Mustaqbal University, the Continuing Education Center at Al-Mustaqbal University organized a specialized online workshop titled "Artificial Intelligence and Breast Cancer Detection", with the participation of a number of academics, researchers, and students from both Iraq and abroad. This workshop was held in cooperation with Mansoura University in the Arab Republic of Egypt, and the College of Medical and Health Technologies, with the aim of shedding light on modern applications of artificial intelligence in the medical field—particularly in the early detection of breast cancer, which remains one of the most critical health challenges worldwide. The workshop covered several key themes, including: An introduction to the fundamentals of artificial intelligence and machine learning Applications of AI in analyzing medical images (such as mammograms) The role of smart algorithms in supporting medical decision-making and improving tumor diagnosis accuracy Case studies and recent research related to early breast cancer detection The workshop was conducted by a group of specialized lecturers in artificial intelligence and medical sciences. It witnessed active engagement from participants and valuable scientific discussions that enriched the event. The Director of the Continuing Education Center emphasized that this workshop is part of a series of scientific activities aimed at linking academic knowledge with modern technological advancements and promoting scientific collaboration with Arab and international universities. At the conclusion of the workshop, participants stressed the importance of strengthening joint scientific research in this vital field and developing smart solutions that contribute to improving healthcare quality and reducing mortality rates resulting from delayed breast cancer detection.


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