Volume 45, Issue 4 e70039

LETTER TO THE EDITOR

Precision in Diagnosis of Liver Fibrosis in MASLD: Machine Learning-Based Scores May Be More Accurate Than Conventional NITs

R. Soliman,

R. Soliman

orcid.org/0000-0002-4562-9748

Egyptian Liver Research Institute and Hospital (ELRIAH), Sherbin, Mansoura, Egypt

Tropical Medicine Department, Faculty of Medicine, Port Said University, Port Said, Egypt

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A. Helmy,

A. Helmy

Egyptian Liver Research Institute and Hospital (ELRIAH), Sherbin, Mansoura, Egypt

Tropical Medicine and Gastroenterology Department, Faculty of Medicine, Assiut University, Assiut, Egypt

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G. Shiha,

Corresponding Author

G. Shiha

[email protected]

orcid.org/0000-0002-9338-8854

Egyptian Liver Research Institute and Hospital (ELRIAH), Sherbin, Mansoura, Egypt

Internal Medicine Department, Faculty of Medicine, Mansoura University, Mansoura, Egypt

Correspondence:

G. Shiha ([email protected])

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R. Soliman,

R. Soliman

orcid.org/0000-0002-4562-9748

Egyptian Liver Research Institute and Hospital (ELRIAH), Sherbin, Mansoura, Egypt

Tropical Medicine Department, Faculty of Medicine, Port Said University, Port Said, Egypt

Search for more papers by this author

A. Helmy,

A. Helmy

Egyptian Liver Research Institute and Hospital (ELRIAH), Sherbin, Mansoura, Egypt

Tropical Medicine and Gastroenterology Department, Faculty of Medicine, Assiut University, Assiut, Egypt

Search for more papers by this author

G. Shiha,

Corresponding Author

G. Shiha

[email protected]

orcid.org/0000-0002-9338-8854

Egyptian Liver Research Institute and Hospital (ELRIAH), Sherbin, Mansoura, Egypt

Internal Medicine Department, Faculty of Medicine, Mansoura University, Mansoura, Egypt

Correspondence:

G. Shiha ([email protected])

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First published: 03 March 2025

https://doi.org/10.1111/liv.70039

Citations: 1

Handling Editor: Alejandro Forner

Funding: The authors received no specific funding for this work.

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Data Availability Statement

The authors have nothing to report.

References

1Y. Vali, A. M. van Dijk, J. Lee, et al., “Precision in Liver Diagnosis: Varied Accuracy Across Subgroups and the Need for Variable Thresholds in Diagnosis of MASLD,” Liver International 45, no. 2 (2025): e16240, https://doi.org/10.1111/liv.16240.
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3G. Shiha, R. Soliman, N. N. H. Mikhail, et al., “Development and Multicenter Validation of FIB-6: A Novel, Machine Learning, Simple Bedside Score to Rule out Liver Cirrhosis and Compensated Advanced Chronic Liver Disease in Patients With Chronic Hepatitis C,” Hepatology Research 52, no. 2 (2022): 165–175.
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4K. Alswat, R. Soliman, N. N. H. Mikhail, et al., “Validation of FIB-6 Score in Assessment of Liver Fibrosis in Chronic Hepatitis B,” Saudi Journal of Gastroenterology 30, no. 3 (2024): 138–144.
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5R. Soliman, K. Alswat, A. Helmy, et al., “Validation of a Machine Learning Powered FIB-6 Index for Ruling out Advanced Fibrosis in Autoimmune Hepatitis,” Hepatology International (2025).
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6A. Anushiravani, K. Alswat, G. N. Dalekos, et al., “Multicenter Validation of FIB-6 as a Novel Machine Learning Non-invasive Score to Rule out Liver Cirrhosis in Biopsy-Proven MAFLD,” European Journal of Gastroenterology & Hepatology 35, no. 11 (2023): 1284–1288.
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Volume45, Issue4

April 2025

e70039

Precision in Diagnosis of Liver Fibrosis in MASLD: Machine Learning-Based Scores May Be More Accurate Than Conventional NITs

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Precision in Diagnosis of Liver Fibrosis in MASLD: Machine Learning-Based Scores May Be More Accurate Than Conventional NITs

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Precision in Liver Diagnosis: Varied Accuracy Across Subgroups and the Need for Variable Thresholds in Diagnosis of MASLD

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