The investigators investigate the heterogeneity fatty liver disease (FLD) as well as risk factors associated with progression of the liver diseases or development of cardiovascular complication. The overarching aim is to develop a AI-based prediction model that could be integrated into the electronic medical record system.
To identify large numbers of unselected individuals with FLD, the investigators developed a phrase recognition algorithm, which identifies FLD using radiology reports. Within the data lake of Helsinki University Hospital, they identified a large number of individuals with or without FLD. The investigators will now randomly invite 1000-1500 individuals with FLD to a follow-up study including investigation of metabolism and progression of liver disease (elastography, blood tests) as well as gathering life-style information. Register data on previous diagnoses and medication will be used to evaluate cardiovascular disease.