Explainable Artificial Intelligence in Healthcare Applications: A Systematic Review

Current artificial intelligence (AI) advances and progress in medicine created a new challenge for medical AI. The” black-box” nature of AI methods has created a discussion on the use of explainability techniques to build trust and provide transparency in the AI decision-making process. A study of current state-of-the-art approaches in Explainable Artificial Intelligence (XAI) was conducted using Preferred Reporting Items on Systematic Reviews and Meta-analysis (PRISMA) research technology. In this systematic review, we provide an overview of current XAI techniques based on different taxonomies. Finally, we discuss the applications and challenges that come with the application of explainability methods in the healthcare industry.