Relevance feedback has gained much interest from researchers in the discipline of content-based image retrieval (CBIR). However, such approach is rarely used in the content-based medical image retrieval (CBMIR) systems. This paper reviews current CBMIR systems and discusses the possible applications of relevance feedback and intelligent technologies in the perspective areas of research for these systems. As a pilot study, this paper paves the ground work and provides a starting point of future research
