Introduction: Prosthetic rehabilitation of edentulous patients remains a challenge in the context of the increasing digitalization of dentistry. In complete removable dentures, limitations are encountered, particularly when using intraoral scanners, due to the absence of stable anatomical landmarks, the difficulty of estimating tissue depressibility, and the need to record both anatomical and functional impressions. Objective: To evaluate the contribution of artificial intelligence in different stages related to complete removable denture management. Methods: A systematic review was conducted following the PRISMA 2020 guidelines. The literature search was conducted in PubMed, ScienceDirect and Scopus and identified 757 records after duplicate removal from 2020 to 2026. Results: Nine studies were included after title, abstract and full text screening, comprising cross-sectional studies, diagnostic studies, quasi-experimental studies, and non-randomized clinical trials. Qualitative assessment was performed using the JBI Critical Appraisal Checklist for Analytical Cross-sectional studies, JBI Critical Appraisal Checklist for Quasi-Experimental Studies and QUADAS-2. Discussion: AI in complete removable dentures remains a rapidly growing and evolving field. Its use may be considered at different stages in the management of an edentulous patient requiring complete rehabilitation, particularly during the pre-prosthetic examination, digital impression taking, as well as in aesthetic planning. Conclusion: In dentistry, AI is already implemented in several fields. In complete removable dentures, its use remains limited but has been developing in recent years.
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