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Machine learning assessment for severity of liver fibrosis for chronic HBV based on physical-layer with serum markers

Naiping Li, Jinghan Zhang, Sujuan Wang, Yongfang Jiang, Jing Ma, Ju Ma, Longjun Dong, Guozhong Gong
2019 IEEE Access  
INDEX TERMS Non-invasive assessment, machine learning, serum markers, liver disease severity, physical-layer.  ...  We aimed to develop a computer-assisted assessment system for the evaluation of liver disease severity by using machine leaning classifier based on physical-layer with serum markers.  ...  VOLUME 7, 2019 TABLE 5 . 5 Comparisons of the non-invasive assessment of severity of liver fibrosis using four machine learning classifiers including DTC, RFC, LRC, and SVC.  ... 
doi:10.1109/access.2019.2923688 fatcat:fspse7fc3rgpbgfabieg3abdp4

Machine Learning Technology for Evaluation of Liver Fibrosis, Inflammation Activity and Steatosis (LIVERFAStTM)

Abhishek Aravind, Avinash G. Bahirvani, Ronald Quiambao, Teresa Gonzalo
2020 Journal of Intelligent Learning Systems and Applications  
Using the latest available artificial intelligence (AI) technology, an advanced algorithm LIVERFASt TM has been used to evaluate the diagnostic accuracy of machine learning (ML) biomarker algorithms to  ...  In this prospective study, the staging of three different lesions of the liver to diagnose fatty liver was analyzed using a proprietary ML algorithm LIVERFASt TM developed with a database of 2862 unique  ...  Conflicts of Interest The authors declare no conflicts of interest regarding the publication of this paper.  ... 
doi:10.4236/jilsa.2020.122003 fatcat:iinuxrsmwra3rejmbnxlbhdwje

Deep Learning based NAS Score and Fibrosis Stage Prediction from CT and Pathology Data [article]

Ananya Jana, Hui Qu, Puru Rattan, Carlos D. Minacapelli, Vinod Rustgi, Dimitris Metaxas
2020 arXiv   pre-print
In this work, we propose a novel method to automatically predict NAS score and fibrosis stage from CT data that is non-invasive and inexpensive to obtain compared with liver biopsy.  ...  The diagnosis and treatment of NAFLD depend on the NAFLD activity score (NAS) and the liver fibrosis stage, which are usually evaluated from liver biopsies by pathologists.  ...  [15] investigated and compared ... the performance of liver fibrosis stage classification using different deep learning algorithms and other machine learning algorithms. Fu et al.  ... 
arXiv:2009.10687v1 fatcat:4vyh5y7b3feetddgg7taruefmu

Applying Machine Learning to Evaluate for Fibrosis in Chronic Hepatitis C [article]

Aravind B Akella, Sudheer Akella
2020 medRxiv   pre-print
The management of patients with chronic Hepatitis C is incomplete without considering the presence and extent of liver fibrosis, which is traditionally assessed with biopsy of liver tissue.  ...  Clinical risk prediction models built using ML offer the potential for more effective diagnostic modalities without the need for invasive procedures.  ...  Acknowledgments We thank Vibhor Kaushik for his assistance in programming using Python.  ... 
doi:10.1101/2020.11.02.20224840 fatcat:qvikmccjlfe7lkjxajokavx2oa

Non-Alcoholic Fatty Liver Disease: Implementing Complete Automated Diagnosis and Staging. A Systematic Review

Stefan L. Popa, Abdulrahman Ismaiel, Pop Cristina, Mogosan Cristina, Giuseppe Chiarioni, Liliana David, Dan L. Dumitrascu
2021 Diagnostics  
The search terms included: (non-alcoholic fatty liver disease OR NAFLD) AND (artificial intelligence OR machine learning OR neural networks OR deep learning OR automated diagnosis OR computer-aided diagnosis  ...  Non-alcoholic fatty liver disease (NAFLD) is a fast-growing pathology around the world, being considered the most common chronic liver disease.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/diagnostics11061078 fatcat:ecqguigdqfan5gdfwi4btapb3i

Transfer learning radiomics based on multimodal ultrasound imaging for staging liver fibrosis

Li-Yun Xue, Zhuo-Yun Jiang, Tian-Tian Fu, Qing-Min Wang, Yu-Li Zhu, Meng Dai, Wen-Ping Wang, Jin-Hua Yu, Hong Ding
2020 European Radiology  
The TL process was used for liver fibrosis classification by Inception-V3 network which pretrained on ImageNet. The diagnostic performance of TL and non-TL was compared.  ...  Liver fibrosis can be staged by a transfer learning modal based on the combination of gray scale and elastogram ultrasound images, with excellent performance. • Transfer learning consists in applying to  ...  Funding information This study has received funding by National Natural Science Foundation of China (grant numbers 81571675, 81873897, and 61471125).  ... 
doi:10.1007/s00330-019-06595-w pmid:31965257 fatcat:ezsvuc7awrcsrfmj5lf6jtbqg4

Diagnosis of Fibrosis Using Blood Markers and Logistic Regression in Southeast Asian Patients With Non-alcoholic Fatty Liver Disease

Chao Sang, Hongmei Yan, Wah Kheong Chan, Xiaopeng Zhu, Tao Sun, Xinxia Chang, Mingfeng Xia, Xiaoyang Sun, Xiqi Hu, Xin Gao, Wei Jia, Hua Bian (+2 others)
2021 Frontiers in Medicine  
Effective and non-invasive diagnosis of advanced fibrosis is essential to disease surveillance and treatment decisions.  ...  Non-alcoholic fatty liver disease (NAFLD) is one of the main causes of fibrosis. Liver biopsy remains the gold standard for the confirmation of fibrosis in NAFLD patients.  ...  ACKNOWLEDGMENTS We thank the participating hospitals for their assistance in data acquisition and sample collection.  ... 
doi:10.3389/fmed.2021.637652 pmid:33708783 pmcid:PMC7940822 fatcat:ky5zdjlpvjb5ri4tjvufoqt3wy

CT Texture Analysis of Abdominal Lesions – Part I.: Liver lesions

Bettina Katalin Budai, Veronica Frank, Sonaz Shariati, Bence Fejér, Ambrus Tóth, Vince Orbán, Viktor Bérczi, Pál Novák Kaposi
2021 Imaging  
We also provide a brief review of radiogenomics and summarize its potential role of in the non-invasive diagnosis of malignant liver tumors.  ...  ABSTRACTArtificial Intelligence and the use of radiomics analysis have been of great interest in the last decade in the field of imaging.  ...  , CTTA can predict the stages of liver fibrosis non-invasively.  ... 
doi:10.1556/1647.2021.00007 fatcat:yv36vovudba57kj5nfirzcfg6q

Prospects for a better diagnosis and prognosis of NAFLD: a pathologist´s view

Carolin Lackner
2021 Hepatoma Research  
Despite the development of surrogate non-invasive methods, histological evaluation remains an important tool for reliable classification, grading and staging, as well as prognosis in non-alcoholic fatty  ...  This article highlights the future developments in the morphological interpretation of liver biopsy in NAFLD, so as to aid in improving its diagnostic and prognostic utility.  ...  A plethora of non-invasive methods to diagnose NASH have been developed. However, presently, the diagnostic accuracy of these approaches is not optimal.  ... 
doi:10.20517/2394-5079.2020.137 fatcat:mwllue24tzaite2mq2gmkzniwi

Ultrasound-based radiomics: current status, challenges and future opportunities

Yingying Jia, Jun Yang, Yangyang Zhu, Fang Nie, HaoAO Wu, Ying Duan, Kundi Chen
2021 Medical ultrasonography  
histological, genomic or proteomic data, thereby improving the accuracy of US in diagnosis of disease.  ...  This article provides an introduction to ultrasound-based radiomics, covering its workflow, the application of machine learning, and current research status.  ...  A study on liver fibrosis classification based on US showed that TL was significantly more effective than non-TL in diagnosis [37] .  ... 
doi:10.11152/mu-3248 pmid:34762720 fatcat:hlx6abp73rb2vh2sfd2lkfin2q

Prediction of advanced fibrosis in non-alcoholic fatty liver disease using gut microbiota-based approaches compared with simple non-invasive tools

Sonja Lang, Fedja Farowski, Anna Martin, Hilmar Wisplinghoff, Maria J. G. T. Vehreschild, Marcin Krawczyk, Angela Nowag, Anne Kretzschmar, Claus Scholz, Philipp Kasper, Christoph Roderburg, Frank Lammert (+3 others)
2020 Scientific Reports  
Liver fibrosis is the major determinant of liver related complications in patients with non-alcoholic fatty liver disease (NAFLD).  ...  The aim of this study was to validate and compare the diagnostic performance of gut microbiota-based approaches to simple non-invasive tools for the prediction of advanced fibrosis in NAFLD. 16S rRNA gene  ...  Acknowledgements This study was supported by the "Marga und Walter Boll-Stiftung", project number 210-03-2016, and the "Köln Fortune" research pool, Faculty of Medicine, University of Cologne, Germany,  ... 
doi:10.1038/s41598-020-66241-0 pmid:32523101 pmcid:PMC7286895 fatcat:caxthwivznfenlz7cf7bxzbwaq

EASL-ALEH Clinical Practice Guidelines: Non-invasive tests for evaluation of liver disease severity and prognosis

2015 Journal of Hepatology  
These limitations have led to the development of non-invasive methods for assessment of liver fibrosis.  ...  According to all the results regarding non-invasive markers, it can be concluded that non-invasive methods are not merely an alternative to biopsy for staging fibrosis, but also predictive of the incidence  ... 
doi:10.1016/j.jhep.2015.04.006 pmid:25911335 fatcat:ecvivjvwxfcgbf6qdzenki43de

Prediction and Staging of Hepatic Fibrosis in Children with Hepatitis C Virus: A Machine Learning Approach

Nahla H. Barakat, Sana H. Barakat, Nadia Ahmed
2019 Healthcare Informatics Research  
Machine learning is a valuable addition to non-invasive methods of liver fibrosis prediction and staging in pediatrics.  ...  There was some agreement between the predictions of RF, APRI and FIB-4 for the prediction and staging of fibrosis.  ...  Conflict of Interest No potential conflict of interest relevant to this article was reported. ORCID  ... 
doi:10.4258/hir.2019.25.3.173 pmid:31406609 pmcid:PMC6689505 fatcat:vdddnpqpgfgbrg3jpkrd7cgjbm

Advanced decision support for complex clinical decisions

Brain Keltch, Yuan Lin, Coskun Bayrak
2010 Journal of Biomedical Science and Engineering  
The CDSS provides a large number of medical support functions to help clinicians make the most reasonable diagnosis and choose the best treatment measures.  ...  Initial results have shown great promise in accurately predicting Fibrosis Stage in Hepatitis patients.  ...  The goal will be to evaluate whether laboratory examinations can be used to estimate the stage of liver fibrosis.  ... 
doi:10.4236/jbise.2010.35071 fatcat:bcrpckv5uzc6db4tdjvktclupa

Performance of Ultrasound Techniques and the Potential of Artificial Intelligence in the Evaluation of Hepatocellular Carcinoma and Non-Alcoholic Fatty Liver Disease

Monica Lupsor-Platon, Teodora Serban, Alexandra Iulia Silion, George Razvan Tirpe, Alexandru Tirpe, Mira Florea
2021 Cancers  
In the present review, we analyzed the diagnostic performance of ultrasonography (US) in the non-invasive evaluation of NAFLD and NAFLD-related HCC, as well as possibilities of optimizing US diagnosis  ...  The current paper also explores the new universe of AI and the various implications of deep learning algorithms in the evaluation of NAFLD and NAFLD-related HCC through US methods, concluding that it could  ...  Acknowledgments: The authors would like to thank Horatiu Florea for providing an insightful view upon the Artificial Intelligence section on the present paper, as well as for the design of the Graphical  ... 
doi:10.3390/cancers13040790 pmid:33672827 fatcat:7sgu6f7ka5ce5kbyymzzxqlpgy
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