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How Does an X-ray Image or Heart Signal Become an Artificial Intelligence Model? The University of Nineveh College of Medicine Explores the Journey of Medical Data Toward Smart Applications

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كيف تتحول صورة أشعة أو إشارة قلب إلى نموذج ذكاء اصطناعي؟ كلية الطب بجامعة نينوى تستعرض رحلة البيانات الطبية نحو التطبيقات الذكية

Under the patronage of the Dean of the College of Medicine at the University of Nineveh, Assistant Professor Dr. Mu’min Junaid al-Dabouni, the Technology Incubator Unit held a scientific seminar today, Thursday, October 15, 2026, titled “Medical Innovation and Artificial Intelligence Applications in Healthcare,” presented by Engineer Hazem Ahmed Al-Bak, in the presence of a number of the college’s faculty members, staff, and students. Translated with DeepL.com (free version)

The seminar reviewed the principles of artificial intelligence, how AI models are built using machine learning and deep learning , and how to leverage radiological images, vital signs, and clinical data to build intelligent models, covering the stages of data classification, model training, testing, and performance evaluation. It also highlighted the role of the physician in identifying the clinical problem, providing data, and interpreting it, as well as the role of the medical engineer in addressing it and developing AI models, thereby strengthening research collaboration between the two disciplines and opening up new horizons for practical applications.

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