Department of Life and Health Sciences, University of L’Aquila, 67100 L’Aquila, Italy
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Informatics Tools Enhancing Tumor Classification and Diagnosis
Author(s): 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. The manuscript discusses the impact of informatics tools on the current diagnostic
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DOI:
10.37421/2157-7420.2024.15.539
Journal of Health & Medical Informatics received 2700 citations as per Google Scholar report