Artificial Intelligence Assisted Colonoscopy in Diagnosis of Colorectal Cancer
- Authors: Aashna Mehta1, Wireko Andrew Awuah2, Sucharu Asri3, Muhammad Jawad Zahid4, Jyi Cheng Ng5, Heli Patel6, Helen Huang7, Katherine Candelario8, Ayush Anand9, Toufik-Abdul Rahman10, Vladyslav Sikora11, Arda Isik12
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View Affiliations Hide Affiliations1 Inter Continental Omni Research in Medicine Collaborative, Berlin, Germany 2 Inter Continental Omni-Research in Medicine Collaborative, Berlin, Germany 3 Inter Continental Omni-Research in Medicine Collaborative, Berlin, Germany 4 Inter Continental Omni-Research in Medicine Collaborative, Berlin, Germany 5 Inter Continental Omni-Research in Medicine Collaborative, Berlin, Germany 6 Inter Continental Omni-Research in Medicine Collaborative, Berlin, Germany 7 Inter Continental Omni-Research in Medicine Collaborative, Berlin, Germany 8 Inter Continental Omni-Research in Medicine Collaborative, Berlin, Germany 9 Inter Continental Omni-Research in Medicine Collaborative, Berlin, Germany 10 Inter Continental Omni-Research in Medicine Collaborative, Berlin, Germany 11 Inter Continental Omni-Research in Medicine Collaborative, Berlin, Germany 12 Inter Continental Omni-Research in Medicine Collaborative, Berlin, Germany
- Source: Exploration of Artificial Intelligence and Blockchain Technology in Smart and Secure Healthcare , pp 111-126
- Publication Date: March 2024
- Language: English
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As medicine continuously evolves, recent advances such as Artificial Intelligence gain prominence for their potential role in enhancing routine clinical practice. One such application is its role in diagnostic colonoscopy to aid in the early detection of precancerous lesions and enable prompt management.
Hardbound ISBN:
9789815165449
Ebook ISBN:
9789815165432
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