Artificial Intelligence in the Diagnosis of Colorectal Cancer: A Literature Review

Artificial Intelligence in the Diagnosis of Colorectal Cancer: A Literature Review

Background: The aim of this review is to explore the role of artificial intelligence in the diagnosis of colorectal cancer, how it impacts CRC morbidity and mortality, and why its role in clinical medicine is limited. Methods: A targeted, non-systematic review of the published literature relating to...

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Bibliographic Details
Main Authors: Petar Uchikov, Usman Khalid, Krasimir Kraev, Bozhidar Hristov, Maria Kraeva, Tihomir Tenchev, Dzhevdet Chakarov, Milena Sandeva, Snezhanka Dragusheva, Daniela Taneva, Atanas Batashki
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Diagnostics
Subjects:
artificial intelligence
colorectal cancer
diagnosis
autonomous learning
advanced neural software
Online Access:https://www.mdpi.com/2075-4418/14/5/528

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https://www.mdpi.com/2075-4418/14/5/528

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