An artificial intelligence model to predict hepatocellular carcinoma risk in Korean and Caucasian patients with chronic hepatitis B

Kim, Hwi; Lampertico, Pietro; Nam, Joon; Lee, Hyung-Chul; Kim, Seung; Sinn, Dong; Seo, Yeon; Lee, Han; Park, Soo; Lim, Young-Suk; Jang, Eun; Yoon, Eileen; Kim, Hyoung; Kim, Sung; Ahn, Sang; Shim, Jae-Jun; Jeong, Soung; Jung, Yong; Sohn, Joo; Cho, Yong; Jun, Dae; Dalekos, George; İDİLMAN, RAMAZAN; Sypsa, Vana; Berg, Thomas; Buti, Maria; Calleja, Jose; Goulis, John; Manolakopoulos, Spilios; Janssen, Harry; Jang, Myoung-jin; Lee, Yun; Kim, Yoon; Yoon, Jung-Hwan; Papatheodoridis, George; Lee, Jeong-Hoon

doi:10.1016/j.jhep.2021.09.025

An artificial intelligence model to predict hepatocellular carcinoma risk in Korean and Caucasian patients with chronic hepatitis B

Kim H. Y., Lampertico P., Nam J. Y., Lee H., Kim S. U., Sinn D. H., ...Daha Fazla

JOURNAL OF HEPATOLOGY, cilt.76, sa.2, ss.311-318, 2022 (SCI-Expanded, Scopus)

Yayın Türü: Makale / Tam Makale
Cilt numarası: 76 Sayı: 2
Basım Tarihi: 2022
Doi Numarası: 10.1016/j.jhep.2021.09.025
Dergi Adı: JOURNAL OF HEPATOLOGY
Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, BIOSIS, CAB Abstracts, EMBASE, MEDLINE, Veterinary Science Database
Sayfa Sayıları: ss.311-318
Anahtar Kelimeler: liver cancer, deep neural networking, antiviral treatment, chronic hepatitis B, HCC, HBV, ENTECAVIR TREATMENT, SCORING SYSTEM, VALIDATION, LAMIVUDINE, CIRRHOSIS, THERAPY, HISTORY, SCORES
Ankara Üniversitesi Adresli: Evet

Özet

Background & Aims: Several models have recently been developed to predict risk of hepatocellular carcinoma (HCC) in patients with chronic hepatitis B (CHB). Our aims were to develop and validate an artificial intelligence-assisted prediction model of HCC risk.