AI for Rare Cancer Detection: Advancing Early Diagnosis and Treatment

Abstract

Detecting rare cancers is a significant challenge due to limited data and subtle early symptoms. AI is addressing this gap through advanced imaging analysis, biomarker identification, and predictive modeling. This paper reviews AI's role in improving early detection rates for cancers such as pancreatic and ovarian cancers. The discussion also covers the importance of collaborative data-sharing initiatives and the ethical implications of AI in rare disease diagnosis.