The aim is to investigate the potential of artificial intelligence (AI) in assisting MRI technologists to identify insufficient fat suppression. The problem arises when the MRI detects fat tissue due to inconsistent magnetic fields during imaging, leading to unclear images that must be re-imaged, causing inconvenience for both patients and radiologists. The research questions focus on understanding how AI can assist technologists, with the objective of building an AI model for identifying inadequate fat suppression. The information gained will be used to train an AI model for implementation in MRI scanners, benefitting both technologists and the community with clearer and more efficient diagnoses.