Purpose of review <p>Numerous breast cancer risk calculators are available today utilizing both genetic and nongenetic risk factors to estimate a woman’s breast cancer risk over time. We aim to provide an overview of the most frequently used calculators while highlighting their strengths, weaknesses, and recent updates to each. We will also provide practical guidance for applying them to clinical practice.</p> Recent findings <p>Traditional risk calculators fail to provide personalized breast cancer risk assessment. Models that incorporate multigenerational family history outperform those that limit family history factors. Mammographic density and polygenic risk scores have emerged as ways to address this and demonstrate improved accuracy when included in existing calculators.</p> Summary <p>Artificial intelligence (AI) models that analyze large scale mammographic datasets, include traditional risk factors, and incorporate new innovations in the field will be a critical focus of future breast cancer risk assessment.</p>