School of Professional Studies

Date of Award


Degree Type


Degree Name

Master of Science in Information Technology (MSIT)


School of Professional Studies

Chief Instructor

Richard Aroian


This study explores the current state of Artificial Intelligence in medical imaging and provides an accessible assessment of how radiologists perceive the emerging technologies. Throughout the research, we analyze different aspects such as the adoption rate of Artificial Intelligence or the performance of state-of-the-art models, and we identify some of the significant barriers that prevent a wider adoption, such as the lack of collaboration between radiologists and computer scientists. Additionally, we provide a brief theoretical background that explains how deep learning works and how it can be helpful in medical imaging. We describe the architecture of a binary classifier in detail and exemplify several measurements that can be used to evaluate an AI model. The paper concludes with our personal opinion on the subject.



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