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Building a trustworthy AI differential diagnosis application for Crohn's disease and intestinal tuberculosis.

Keming LuYuanren TongSi YuYucong LinYingyun YangHui XuYue LiSheng Yu
Published in: BMC medical informatics and decision making (2023)
We build a trustworthy AI differential diagnosis application for differentiating between CD and ITB focusing on accuracy, interpretability and robustness. The classifiers perform well, and the features which had statistical significance were in agreement with clinical guidelines.
Keyphrases
  • artificial intelligence
  • mycobacterium tuberculosis
  • clinical practice
  • hiv aids
  • pulmonary tuberculosis
  • deep learning
  • hepatitis c virus
  • nk cells