The success of future preventative treatments for dementia might rely on early and accurate identification of individuals who have a high risk of developing this condition. Here, Stephan et al. examine models of dementia risk prediction that have been tested in population-based samples. The authors discuss the predictive utility of both mild cognitive impairment criteria, and population screening models that combine cognitive deficits with other known dementia risk factors.