Castro, JoãoHeyden, Yannick Von Der2024-10-302024-10-302024-02-022023-12-19http://hdl.handle.net/10362/174301Medical Diagnosis (Yannick von der Heyden): This thesis section delves into the integration of Artificial Intelligence in radiology, specifically focusing on its application in medical imaging. It discusses the evolution of AI in radiological practices, the technological underpinnings of AI in image analysis, and its pivotal role during the COVID-19 pandemic. The study evaluates how AI enhances diagnostic precision and operational efficiency in medical imaging, while also addressing the challenges it presents in terms of interpretability, ethical considerations, and the need for specialized education. Furthermore, it highlights the need for advancements in AI usability and accuracy, as indicated by expert interviews, to optimize its application in radiological settings.engArtificial intelligenceMedical imagingRadiologyConvolutional neural networksGenerative adversarial networksCovid-19Regulationmaster thesis203605560