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A 15-year-old male with a traumatic brain injury and left intraparenchymal hematoma underwent cranioplasty complicated by infection and necrosis. A second procedure obtained positive outcomes using a custom AI-designed prosthesis generated from computed tomography imaging, 3D modeling, and polymethylmethacrylate fabrication. AI-enabled modeling ensured precise anatomical fit, reducing intraoperative adjustments and overcoming limitations of manual techniques. This approach enhances surgical outcomes and prosthesis accessibility in resource-limited settings. AI improves the design of cranial prostheses, lowering costs and production time. Its application could be cost-effective, especially in low-resource settings.<\/jats:p>","DOI":"10.1093\/jscr\/rjaf482","type":"journal-article","created":{"date-parts":[[2025,7,7]],"date-time":"2025-07-07T14:09:48Z","timestamp":1751897388000},"source":"Crossref","is-referenced-by-count":3,"title":["AI-assisted prostheses manufacturing for cranioplasties in low-income countries. 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