ARTIFICIAL INTELLIGENCE IN HEPATOCELLULAR CARCINOMA SCREENING AND MEDICAL TREATMENT

Authors

  • Turgunov Boburjon Radiology Department of Shaoxing People’s Hospital. Shaoxing, China

Keywords:

Artificial Intelligence, Machine Learning, Deep Learning, Liver Cancer

Abstract

Hepatocellular carcinoma (HCC) is the third most prevalent cause of cancer-related death worldwide and the fifth most common cancer with an annual incidence of over 500,000 cases worldwide [1,2]. The cirrhosis that underlies the great majority of HCC tumors is most frequently caused by alcohol-related liver disease, hepatitis B or hepatitis C virus infection, or nonalcoholic fatty liver disease (NAFLD). HCC still has a dismal five-year survival rate of 15% despite recent therapy improvements, such as the use of Atezolizumab + Bevacizumab for unresectable HCC. These factors are mostly attributable to delayed diagnosis and the poor effectiveness of current therapies [3, 4].

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Published

2024-03-29

How to Cite

Turgunov Boburjon. (2024). ARTIFICIAL INTELLIGENCE IN HEPATOCELLULAR CARCINOMA SCREENING AND MEDICAL TREATMENT. Neo Science Peer Reviewed Journal, 19, 14–18. Retrieved from https://neojournals.com/index.php/nsprj/article/view/388

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