Positron emission tomography (PET) combined with computed tomography (CT) has evolved over the last decades into a state-of-the-art technique for imaging malignant lesions in patients with oncological disease. The detection of radioactive decay is used to localise the malignant lesions within the patient efficiently and in a quite early phase. The radioactive decay of these radionuclides is inherently associated with a certain radiation dose to the patient.  Our research group has developed new  Artificial intelligence (AI) based image processing methods for low dose/fast scans and is developing a new PET system based on the latest artificial intelligence techniques (deep learning) to improve the imaging process. In this project, we primarily aim to use AI to improve patient care by reducing the total required radiation activity and reducing the scanning time while improving image quality and patient comfort.