Role of Artificial Intelligence in Detecting Colorectal Cancer Recurrence After Surgery

Mohamed Arsath Shamsudeen (), Shifan Arif (), Ayesha Zaffer Khanday (), Syed Faazil Kazi (), Arqam Mibsaam Ahmad () and Faaiza Kazi ()

International Journal of Innovative Science and Research Technology (IJISRT), 2025, vol. 10, issue 07, 2206-2209

Abstract: Colorectal cancer (CRC) recurrence after surgery is a major concern for patient prognosis and survival, making accurate and timely detection necessary. While imaging, biomarker analysis, and colonoscopies are important post-operative surveillance techniques, their sensitivity and specificity are often constrained. In recent years, artificial intelligence (AI) has emerged as a powerful tool for improving the identification and prognosis of colorectal cancer recurrence. Artificial intelligence (AI) algorithms, particularly ones built on machine learning (ML) and deep learning (DL), have shown great promise in the analysis of complicated medical data, including genetic profiles, histological slides, medical imaging, and patient clinical histories. By identifying subtle patterns that may be prone to be overlooked by clinicians, these systems have the potential to increase diagnostic accuracy and detect recurrences early. This study reviews recent developments, applications, and difficulties in the use of AI in the post-operative surveillance of colorectal cancer. It highlights AI-powered methods across genetics, pathology, and radiology, emphasising their potential incorporation into clinical practice for predictive and individualized recurrence monitoring. Additionally, the paper addresses the prospects of AI technology in the battle against colorectal cancer recurrence, as well as its ethical and regulatory considerations essential for their effective implementation into clinical practice.

Keywords: Artificial Intelligence; Machine Learning; Deep Learning; Colorectal Cancer; Recurrence; Detection. (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.ijisrt.com/role-of-artificial-intellig ... rrence-after-surgery (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:cvr:ijisrt:2025:07:ijisrt25jul849

DOI: 10.38124/ijisrt/25jul849

Access Statistics for this article

More articles in International Journal of Innovative Science and Research Technology (IJISRT) from IJISRT Publication
Bibliographic data for series maintained by Rahul Goyel ().