ML algorithms improve cancer diagnosis by enhancing the accuracy and speed of identifying cancerous cells. For example, neural networks can analyze medical images to detect tumors with high precision. Algorithms like SVM and logistic regression can classify patient data to predict cancer risk, thereby aiding in early diagnosis and treatment planning.
