Abstract: Techniques for diagnosing a patient having an AAA. The techniques include using a computer hardware processor to perform: accessing computed tomography angiography (CTA) images of a portion of the patient, the portion of the patient including the AAA of the patient; providing the CTA images as input to a trained machine learning model, the trained machine learning model being configured to classify a property of the AAA based on the CTA images; and determining, based on the classified property of the AAA, a diagnosis of the patient, the diagnosis including information identifying at least one condition (e.g., an endoleak, an AAA rupture) of the patient.