Advanced search
Publication Cover
Nucleosides, Nucleotides & Nucleic Acids Volume 42, 2023 - Issue 5
Submit an article Journal homepage
393
Views
0
CrossRef citations to date
0
Altmetric
Research Articles

Artificial intelligence model with deep learning in nonalcoholic fatty liver disease diagnosis: genetic based artificial neural networks

Yakup Ülgera Faculty of Medicine, Department of Gastroenterology, Cukurova University, Adana, TurkeyCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0003-2999-9308
ORCID Icon &
Anıl Delika Faculty of Medicine, Department of Gastroenterology, Cukurova University, Adana, Turkey;b Faculty of Science and Literature Department of Biology, Cukurova University, Adana, TurkeyORCID Iconhttps://orcid.org/0000-0002-6443-9392
ORCID Icon
Pages 398-406 | Received 26 Aug 2022, Accepted 17 Nov 2022, Published online: 30 Nov 2022

References

  • Baffy, G.; Bosch, J. Overlooked Subclinical Portal Hypertension in Non-Cirrhotic NAFLD: Is it Real and How to Measure it? J. Hepatol. 2022, 76, 458–463. DOI: 10.1016/j.jhep.2021.09.029.
  • Aggarwal, P.; Alkhouri, N. Artificial İntelligence in Nonalcoholic Fatty Liver Disease: A New Frontier in Diagnosis and Treatment. Clin.Liver Dis. (Hoboken) 2021, 17, 392–397. DOI: 10.1002/cld.1071.
  • Marchesini, G.; Marzocchi, R.; Agostini, F.; Bugianesi, E. Nonalcoholic Fatty Liver Disease and the Metabolic Syndrome. Curr. Opin. Lipidol. 2005, 16, 421–427. DOI: 10.1097/01.mol.0000174153.53683.f2.
  • Mahana, D.; Trent, C. M.; Kurtz, Z. D.; Bokulich, N. A.; Battaglia, T.; Chung, J.; Müller, C. L.; Li, H.; Bonneau, R. A.; Blaser, M. J. Antibiotic Perturbation of the Murine Gut Microbiome Enhances the Adiposity, İnsulin Resistance, and Liver Disease Associated with High-Fat Diet. Genome Med. 2016, 8, 1–20. DOI: 10.1186/s13073-016-0297-9.
  • Procino, F.; Misciagna, G.; Veronese, N.; Caruso, M. G.; Chiloiro, M.; Cisternino, A. M.; Notarnicola, M.; Bonfiglio, C.; Bruno, I.; Buongiorno, C.; MICOL GROUP.; et al. Reducing NAFLD‐Screening Time: A Comparative Study of Eight Diagnostic Methods Offering an Alternative to Ultrasound Scans. Liver Int. 2019, 39, 187–196. DOI: 10.1111/liv.13970.
  • Ahn, J. C.; Connell, A.; Simonetto, D. A.; Hughes, C.; Shah, V. H. Application of Artificial İntelligence for the Diagnosis and Treatment of Liver Diseases. Hepatology 2021, 73, 2546–2563. DOI: 10.1002/hep.31603.
  • Sorino, P.; Campanella, A.; Bonfiglio, C.; Mirizzi, A.; Franco, I.; Bianco, A.; Caruso, M. G.; Misciagna, G.; Aballay, L. R.; Buongiorno, C.; et al. Development and Validation of a Neural Network for NAFLD Diagnosis. Sci. Rep. 2021, 11, 1–13. DOI: 10.1038/s41598-021-99400-y.
  • Mai, R.-Y.; Zeng, J.; Mo, Y.-S.; Liang, R.; Lin, Y.; Wu, S.-S.; Piao, X.-M.; Gao, X.; Wu, G.-B.; Li, L.-Q.; Ye, J.-Z. Artificial Neural Network Model for Liver Cirrhosis Diagnosis in Patients with Hepatitis B Virus-Related Hepatocellular Carcinoma. Ther. Clin. Risk Manag. 2020, 16, 639–649. DOI: 10.2147/TCRM.S257218.
  • Fialoke, S.; Malarstig, A.; Miller, M. R.; Dumitriu, A. Application of Machine Learning Methods to Predict Non-Alcoholic Steatohepatitis (NASH) in Non-Alcoholic Fatty Liver (NAFL) Patients. AMIA Annu. Symp. Proc. 2018, 2018, 430–439.
  • Okanoue, T.; Shima, T.; Mitsumoto, Y.; Umemura, A.; Yamaguchi, K.; Itoh, Y.; Yoneda, M.; Nakajima, A.; Mizukoshi, E.; Kaneko, S.; Harada, K. Artificial İntelligence/Neural Network System for the Screening of Nonalcoholic Fatty Liver Disease and Nonalcoholic Steatohepatitis. Hepatol. Res. 2021, 51, 554–569. DOI: 10.1111/hepr.13628.
  • Chen, Y.-S.; Chen, D.; Shen, C.; Chen, M.; Jin, C.-H.; Xu, C.-F.; Yu, C.-H.; Li, Y.-M. A Novel Model for predicting fatty liver Disease by Means of an Artificial Neural Network. Gastroenterol. Rep. (Oxf) 2021, 9, 31–37. DOI: 10.1093/gastro/goaa035.
  • Machado, M. V.; Cortez-Pinto, H. Non-İnvasive Diagnosis of Non-Alcoholic Fatty Liver Disease: A Critical Appraisal. J. Hepatol. 2013, 58, 1007–1019. DOI: 10.1016/j.jhep.2012.11.021.
  • Nam, D.; Chapiro, J.; Paradis, V.; Seraphin, T. P.; Kather, J. N. Artificial İntelligence in Liver Diseases: improving Diagnostics, Prognostics and Response Prediction. JHEP Rep. 2022, 4, 100443. DOI: 10.1016/j.jhepr.2022.100443.
  • Cao, W.; An, X.; Cong, L.; Lyu, C.; Zhou, Q.; Guo, R. Application of Deep Learning in Quantitative Analysis of 2‐Dimensional Ultrasound İmaging of Nonalcoholic Fatty Liver Disease. J. Ultrasound Med. 2020, 39, 51–59. DOI: 10.1002/jum.15070.
  • Heinemann, F.; Birk, G.; Stierstorfer, B. Deep Learning Enables Pathologist-like Scoring of NASH Models. Sci. Rep. 2019, 9, 1–10. DOI: 10.1038/s41598-019-54904-6.
  • Chou, T.-H.; Yeh, H.-J.; Chang, C.-C.; Tang, J.-H.; Kao, W.-Y.; Su, I.-C.; Li, C.-H.; Chang, W.-H.; Huang, C.-K.; Sufriyana, H.; Su, E. C.-Y. Deep Learning for Abdominal Ultrasound: A Computer-Aided Diagnostic System for the Severity of Fatty Liver. J. Chin. Med. Assoc. 2021, 84, 842–850. DOI: 10.1097/JCMA.0000000000000585.
  • Byra, M.; Styczynski, G.; Szmigielski, C.; Kalinowski, P.; Michałowski, Ł.; Paluszkiewicz, R.; Ziarkiewicz-Wróblewska, B.; Zieniewicz, K.; Sobieraj, P.; Nowicki, A. Transfer Learning with Deep Convolutional Neural Network for Liver Steatosis Assessment in Ultrasound İmages. Int. J. Comput. Assist. Radiol. Surg. 2018, 13, 1895–1903. DOI: 10.1007/s11548-018-1843-2.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.