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This review sets out to discuss the foremost applications of artificial intelligence (AI), particularly deep learning (DL) algorithms, in single-photon emission computed tomography (SPECT) and positron emission tomography (PET) imaging. To this end, the underlying limitations/challenges of these imaging modalities are briefly discussed followed by a description of AI-based solutions proposed to address these challenges. This review will focus on mainstream generic fields, includingdoi:10.1016/j.ejmp.2021.03.008 pmid:33765602 fatcat:onw4fm22y5cxndxiwyy5bdw4t4