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Revolutionizing Cancer Detection through AI Algorithms.

Authors :
Srivastava, Nidhi
Source :
Grenze International Journal of Engineering & Technology (GIJET); Jan Part 1, Vol. 10 Issue 1, p316-322, 7p
Publication Year :
2024

Abstract

Artificial Intelligence (AI) is a field which has spread its wing everywhere. The two subsets of AI – Machine Learning (ML) and Deep Learning (DL) are very much in demand nowadays. Use of AI in healthcare is now seen at a large scale. One of the prominent uses of AI algorithm is in detection of cancer. The number of cancer cases is increasing rapidly and both doctors and researchers are trying to find a solution for the same. Detection of cancer is possible through various tests like MRI, CT scan, etc. It is a challenge for the doctors to interpret the tests correctly as it is very complex and time-consuming. It becomes even more challenging to infer the tests if the cancer is in the early stage. This is where AI can help. Various ML/ DL algorithms can be used to speed up the detection process and thus identify cancerous cells in the initial stage so that the survival rate of the patient increases. Early diagnosis and timely intervention can make a significant difference between life and death for cancer patients. This paper briefly outlines the role of AI including ML and DL in cancer detection and how various researchers are using it for prediction of disease. The paper also outlines the general steps used in AI for detection of cancer. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
23955287
Volume :
10
Issue :
1
Database :
Complementary Index
Journal :
Grenze International Journal of Engineering & Technology (GIJET)
Publication Type :
Academic Journal
Accession number :
175658115