Explainable-AI in Automated Medical Report Generation Using Chest X-ray Images

The use of machine learning in healthcare has the potential to revolutionize virtually every aspect industry. However, lack transparency AI applications may lead problem trustworthiness and reliability information provided by these applications. Medical practitioners rely on such systems for clinical decision making, but without adequate explanations, diagnosis made cannot be completely trusted. Explainability Artificial Intelligence (XAI) aims improve our understanding why a given output been produced an system. Automated medical report generation is one area that would benefit greatly from XAI. This survey provides extensive literature review XAI techniques used image analysis automated generation. We present systematic classification this field, highlighting most important features each could future research select appropriate technique create understandable reliable explanations decisions systems. In addition providing overview state art area, we identify some issues need addressed which should focused.