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This paper is in the following e-collection/theme issue:

Methods and Feasibility Studies (695) Clinical Information and Decision Making (3472) Decision Support for Health Professionals (2083) Clinical Informatics in Low-Resource Settings and the Developing World (173) Machine Learning (3002) Responsible Health AI (186)

Published on in Vol 15 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/89279, first published .
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An Explainable AI Framework for Continuous Monitoring, Risk Stratification, and Clinical Decision Support in Primary Biliary Cholangitis: Protocol for a Multiphase Development and Validation Study

An Explainable AI Framework for Continuous Monitoring, Risk Stratification, and Clinical Decision Support in Primary Biliary Cholangitis: Protocol for a Multiphase Development and Validation Study

Authors of this article:

Basile Njei1 Author Orcid Image ;   Ulrick Sidney Kanmounye2 Author Orcid Image
Article Authors Cited by Tweetations (1) Metrics

Basile Njei   1 , MPH, MD, PhD ;   Ulrick Sidney Kanmounye   2 , MD

1 Engelhardt School of Global Health and Bioethics, Euclid University, Bangui, Central African Republic

2 Association of Future African Neurosurgeons, Yaounde, Cameroon

Corresponding Author:

  • Basile Njei, MPH, MD, PhD
  • Engelhardt School of Global Health and Bioethics
  • Euclid University
  • Avenue de France, Campus ENAM
  • Bangui BP 157
  • Central African Republic
  • Phone: +236 21 61 59 2
  • Email: basilenjei@gmail.com