Primary Progressive Aphasia (PPA) is a neurodegenerative syndrome characterized by the gradual decline of language abilities, while other cognitive domains remain relatively preserved in the early stages. Growing awareness and better diagnostic tools have led to an increasing number of identified cases. Accurate diagnosis and differentiation among the three main PPA variants, nonfluent/agrammatic (nfvPPA), semantic (svPPA) and logopenic (lvPPA), are crucial for clinical management, prognosis and the development of targeted interventions. Diagnosis typically relies on clinical and neuropsychological assessments, supported by neuroimaging and, when possible, pathological confirmation. In this context, artificial intelligence (AI) has emerged as a promising tool to assist clinicians in diagnostic decision-making.