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ISSN: 2476-2253

Journal of Cancer Diagnosis
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  • Editorial   
  • J Cancer Diagn,

Transforming Cancer Staging: AI, Molecular, Imaging

Michael O芒聙聶Reilly*
St. Patrick鈥檚 Cancer Institute, Ireland
*Corresponding Author : Michael O芒聙聶Reilly, St. Patrick鈥檚 Cancer Institute, Ireland, Email: m.oreilly@stpatrickshospital.ie

Received Date: May 02, 2025 / Accepted Date: May 30, 2025 / Published Date: May 30, 2025

Abstract

Advances in cancer staging are revolutionizing oncology, driven by \textit{Artificial Intelligence} (AI) and molecular insights. AI precisely processes vast medical data for improved diagnostic accuracy and treatment planning across cancers like colorectal, hepatocellular, and prostate. Molecular staging and circulating tumor DNA (ctDNA) offer vital data on tumor biology and recurrence risk, enabling personalized therapies for colon cancer. Evolving imaging, such as PET scans for lymphoma, and updates to staging manuals for gastric cancer, further refine risk stratification. These innovations collectively promise more accurate prognoses and tailored management, marking a significant shift in patient care.

Citation: O芒聙聶Reilly M (2025) Transforming Cancer Staging: AI, Molecular, Imaging. jcd 09: 301.

Copyright: 漏 2025 Michael O鈥橰eilly This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricteduse, distribution and reproduction in any medium, provided the original author and source are credited.

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