This book provides an in-depth analysis of cutting-edge research on healthcare applications of explainable machine intelligence. It showcases an array of the most recent findings, applications, and empirical results, utilizing advanced approaches for effective and trustworthy analysis and diagnosis across multiple medical fields. Key areas are reviewed, with further investigation into challenges, perspectives, emerging trends, and opportunities. The transformative potential of explainable machine intelligence is revealed in reshaping the landscape of healthcare through the implementation of transparent and trustworthy approaches. Explainable Machine Intelligence in Healthcare offers valuable insights into the design, development, integration, and deployment of machine intelligence in healthcare delivery and patient care. It caters to a broad readership encompassing diverse stakeholders, such as academicians, researchers, scholars, instructors, practitioners, students, industry professionals, public health agencies, and NGOs.