PhD Defence Dennis Bontempi

Keywords: Cancer, Medical-Imaging, Artificial-Intelligence, Healthcare
 

"Deep Learning Applications in Cancer Imaging"

This thesis delves into the transformative potential of artificial intelligence (AI) within the fields of radiology and oncology, with a particular focus on its impact on medical imaging. By developing novel applications of AI in cancer imaging research, this work highlights the numerous benefits this revolutionary technology offers for improving diagnostic accuracy, enhancing treatment planning, and, ultimately, advancing patient outcomes. In addition, this thesis addresses critical challenges that still hinder the translation of AI to the clinic and, therefore, the full realization of its potential in medical imaging. It proposes practical solutions to overcome these obstacles, with an emphasis on ensuring transparency and reproducibility of AI research. This work contributes to the growing body of knowledge on how AI can be responsibly and effectively deployed in radiology and oncology, paving the way for future innovations in cancer care and imaging technology.

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