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For: Zamanian H, Shalbaf A, Zali MR, Khalaj AR, Dehghan P, Tabesh M, Hatami B, Alizadehsani R, Tan RS, Acharya UR. Application of artificial intelligence techniques for non-alcoholic fatty liver disease diagnosis: A systematic review (2005-2023). Comput Methods Programs Biomed 2024;244:107932. [PMID: 38008040 DOI: 10.1016/j.cmpb.2023.107932] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Revised: 11/13/2023] [Accepted: 11/15/2023] [Indexed: 11/28/2023]
Number Cited by Other Article(s)
1
Verma N, Duseja A, Mehta M, De A, Lin H, Wong VWS, Wong GLH, Rajaram RB, Chan WK, Mahadeva S, Zheng MH, Liu WY, Treeprasertsuk S, Prasoppokakorn T, Kakizaki S, Seki Y, Kasama K, Charatcharoenwitthaya P, Sathirawich P, Kulkarni A, Purnomo HD, Kamani L, Lee YY, Wong MS, Tan EXX, Young DY. Machine learning improves the prediction of significant fibrosis in Asian patients with metabolic dysfunction-associated steatotic liver disease - The Gut and Obesity in Asia (GO-ASIA) Study. Aliment Pharmacol Ther 2024;59:774-788. [PMID: 38303507 DOI: 10.1111/apt.17891] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Revised: 11/28/2023] [Accepted: 01/20/2024] [Indexed: 02/03/2024]
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