Journal of Health & Medical Informatics

Abstract

Maggio Scarselli*

In the rapidly evolving field of oncology, the accurate classification and diagnosis of tumors are pivotal for effective treatment planning and patient outcomes. Informatics tools have emerged as transformative assets in enhancing tumor classification and diagnosis, leveraging advanced technologies such as machine learning, artificial intelligence, and big data analytics. This manuscript explores the role of these informatics tools in revolutionizing tumor classification and diagnosis by improving accuracy, efficiency, and personalization in clinical practice. By integrating largescale data from various sources, including genomic, histopathological, and imaging data, these tools facilitate a more nuanced understanding of tumor biology and enable more precise treatment strategies.