Bayesian models enhance cancer diagnosis by combining various sources of information, such as genomic data, imaging results, and patient history, to create a comprehensive risk assessment. For instance, in breast cancer screening, Bayesian models can integrate mammography results with genetic markers to improve the accuracy and specificity of diagnosis.
