Researchers are continually exploring alternatives to reduce the need for frequent imaging. One promising area is the development of liquid biopsies, which involve analyzing biomarkers in blood samples to monitor cancer progression. Another area of interest is artificial intelligence and machine learning algorithms that can predict disease progression and treatment outcomes, potentially reducing the frequency of imaging required.