Springer Explainable AI in Health Informatics Book

Explore the intersection of artificial intelligence and medical data with Explainable AI in Health Informatics. Published by Springer as part of the Computational Intelligence Methods and Applications series, this book addresses the growing need for transparency in healthcare technology. As machine learning becomes a standard part of medical workflows, understanding the logic behind automated decisions becomes a priority for professionals. This text provides a foundation for studying how computational intelligence methods can be applied to health informatics while maintaining clarity and accountability. Designed for those studying computer science, AI, and machine learning, this resource offers a focused look at the methods used to make complex algorithms interpretable within clinical settings. It serves as a specialized addition to your academic or professional library, focusing on the technical applications of explainable AI in the medical field.