Publisher Correction: Machine Learning Models for Predicting Significant Liver Fibrosis in Patients with Severe Obesity and Nonalcoholic Fatty Liver Disease - Top-Institutions - MDSpire

Publisher Correction: Machine Learning Models for Predicting Significant Liver Fibrosis in Patients with Severe Obesity and Nonalcoholic Fatty Liver Disease

  • By

  • Chien-Hung Lu

  • Weu Wang

  • Yu-Chuan Jack Li

  • I-Wei Chang

  • Chi-Long Chen

  • Chien-Wei Su

  • Chun-Chao Chang

  • Wei-Yu Kao

  • May 5, 2026

  • 0 min

Share

Top Institutions in Surgery

Brief introduction explaining scope and methodology.

  • #1

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Hepatology
    • Gastroenterology

  • #2

    Cleveland Clinic
    Cleveland Clinic

    Cleveland, OH

    Key Differentiators

    • Hepatology
    • Gastroenterology

  • #3

    Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai

    New York, NY

    Key Differentiators

    • Hepatology
    • Gastroenterology

Original Source(s)

Publisher Correction: Machine Learning Models for Predicting Significant Liver Fibrosis in Patients with Severe Obesity and Nonalcoholic Fatty Liver Disease

  • by Chien-Hung Lu, Weu Wang, Yu-Chuan Jack Li, I-Wei Chang, Chi-Long Chen, Chien-Wei Su, Chun-Chao Chang, Wei-Yu Kao

  • May 5, 2026

Related Content

To Fix or Not to Fix: Effect of Gastropexy on Esophageal Manometric Values Post Laparoscopic Sleeve Gastrectomy

Global Trends and Research Topics in Gastric Bypass Clinical Trials: A Bibliometric Analysis and Latent Dirichlet Allocation (LDA) Study

Venous Thromboembolism and Bleeding Risk in a Population with Obesity Hospitalized for Surgery and Receiving Enoxaparin for Thromboprophylaxis