Optimization of Oral Rehabilitation: Use of Artificial Intelligence in the Manufacture of Protocol-Type Provisional Prostheses with Immediate Loading for Maxillae
Jaqueline Alves do Nascimento *
Dental Prosthesis, Implantology and Periodontics, Ceará Institute of Dental Specialties (ICEO), 60.135-040, Fortaleza-CE, Brazil and Undergraduate Degree in Pharmacology, Harvard Medical School (HMS), HMX-Boston, United States of America.
Jozely Francisca Mello Lima
Federal University of Ceará (UFC), 60455-760, Fortaleza-CE, Brazil.
Daniel Sartorelli Marques de Castro
Christus University Center (Unichristus), 60.160-230, Fortaleza-CE, Brazil.
*Author to whom correspondence should be addressed.
Abstract
The use of Large Language Model (LLM) technologies, such as Artificial Intelligence (AI) with Deep Learning and Machine Learning software, has become commonplace in surgical planning, enabling the capture, manipulation and digital planning of immediately loaded provisional prostheses for dental implants. Materials and Methods: this literature review a search was made for scientific articles in virtual databases: PUBMED, ScIELO, Google Scholar, LILACS, BVS, ResearchGate. Articles that were not part of dentistry were excluded based on the theme of the Abstract. The 28 articles pertinent to dentistry and the theme of the abstract were included and fully analyzed. The following were aligned and distributed in the literature review: systematic reviews, literature reviews, clinical cases, laboratory studies, books, theses and dissertations. Conclusion: The improvement of Artificial Intelligence in dentistry is enabling better planning and practical-surgical-prosthetic execution with the creation and printing of provisional prostheses with immediate loading, better retention, occlusal stability, less repair and a pleasant biopsychosocial sensation, since it eliminates instability due to the mechanical displacement of overdentures.
Keywords: Oral rehabilitation, artificial intelligence, dental prosthesis, digital planning