Summary
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.