Breast cancer is the most common cancer among women worldwide. Its complex treatment requires a tailored approach by a multidisciplinary team. The rising number of patients severely pressures these meetings and MRI scan usage. This research from the Radboud university medical center shows that stricter preparation, more structure, and using smart computer systems (AI) could significantly accelerate these clinical consultations. Although doctors welcome AI's administrative assistance, human judgment remains crucial for final decisions. Furthermore, this thesis offers a potential solution for limited MRI capacity. A redesigned screening process using abbreviated scans and dockable tables has the potential to nearly double an MRI scanner's capacity, from 36 to a maximum of 68 patients daily. By combining technological innovation with smarter logistics, doctors are expected to retain the necessary time and space for personal, high-quality patient care.
Lejla Koco (1993) obtained her master's degree in medical biology from Radboud University in 2018. In 2018, she started her PhD research at the Imaging department of Radboud university medical center. Currently, she works as a Palliative Care Guidelines Advisor at the Dutch institute for palliative care (stichting PZNL).