Abstract : The current study aims to systematically review the role of artificial intelligence in medical imaging as well as impacts and threats on rare disease community as well as aims to present a concise opinion on current research in this area and forward proposal for further studies. Based on a comprehensive assessment of the literature, this study gathers, synthesises, and evaluates data. Thirty-five research articles on the community and its dimensions related to rare diseases, medical imaging, and artificial intelligence were selected from seven databases between 2014 and 2024, in accordance with a prearranged review methodology. The chosen works have been assessed in order to compile pertinent information for a number of academic topics. We have observed expanding tendencies in the articles in 2022. The majority of papers have looked at the community, medical, and artificial intelligence aspects of people with uncommon community diseases. The information extraction process yielded the following results: "artificial intelligence," "threats," "medical imaging," "impacts," and uncommon community diseases" are the terms that appear most frequently in the literature individually. "Combining all these data variables" is still a step, but it is less iterative. As a result, the review's findings can aid in the effective implementation and development of artificial intelligence in medical imaging by academics.