A common use case for machine learning in healthcare is diagnostic assistance. Algorithms can analyze vast amounts of medical data, such as imaging studies or laboratory results, to identify patterns that may not be immediately obvious to human professionals. For instance, machine learning models can assist in early detection of diseases like cancer, predicting patient outcomes, or personalizing treatment plans. This not only helps in improving accuracy but also enables healthcare providers to make more informed decisions based on comprehensive data analysis, ultimately enhancing patient care and outcomes.