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Summary

  • Karol Przystalski,
  • Rohit M. Thanki

摘要

“Explainable Machine Learning in Medicine” is a comprehensive and insightful book that delves into the emerging field of explainable artificial intelligence (XAI) and its applications in the medical domain. This book provides a thorough exploration of the challenges and opportunities that arise when integrating machine-learning models into medical decision-making processes.