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Ali IE, Tanikawa C, Chikai M, Ino S, Sumita Y, Wakabayashi N. Applications and performance of artificial intelligence models in removable prosthodontics: A literature review. J Prosthodont Res 2024; 68:358-367. [PMID: 37793819 DOI: 10.2186/jpr.jpr_d_23_00073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/06/2023]
Abstract
PURPOSE In this narrative review, we present the current applications and performances of artificial intelligence (AI) models in different phases of the removable prosthodontic workflow and related research topics. STUDY SELECTION A literature search was conducted using PubMed, Scopus, Web of Science, and Google Scholar databases between January 2010 and January 2023. Search terms related to AI were combined with terms related to removable prosthodontics. Articles reporting the structure and performance of the developed AI model were selected for this literature review. RESULTS A total of 15 articles were relevant to the application of AI in removable prosthodontics, including maxillofacial prosthetics. These applications included the design of removable partial dentures, classification of partially edentulous arches, functional evaluation and outcome prediction in complete denture treatment, early prosthetic management of patients with cleft lip and palate, coloration of maxillofacial prostheses, and prediction of the material properties of denture teeth. Various AI models with reliable prediction accuracy have been developed using supervised learning. CONCLUSIONS The current applications of AI in removable prosthodontics exhibit significant potential for improving the prosthodontic workflow, with high accuracy levels reported in most of the reviewed studies. However, the focus has been predominantly on the diagnostic phase, with few studies addressing treatment planning and implementation. Because the number of AI-related studies in removable prosthodontics is limited, more models targeting different prosthodontic disciplines are required.
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Affiliation(s)
- Islam E Ali
- Department of Advanced Prosthodontics, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan
- Department of Prosthodontics, Faculty of Dentistry, Mansoura University, Mansoura, Egypt
| | - Chihiro Tanikawa
- Department of Orthodontics and Dentofacial Orthopedics, Graduate School of Dentistry, Osaka University, Suita, Japan
| | - Manabu Chikai
- Human Informatics and Interaction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Japan
| | - Shuichi Ino
- Department of Mechanical Engineering, Graduate School of Engineering, Osaka University, Suita, Japan
| | - Yuka Sumita
- Department of Partial and Complete Denture, School of Life Dentistry at Tokyo, The Nippon Dental University, Tokyo, Japan
- Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan
| | - Noriyuki Wakabayashi
- Department of Advanced Prosthodontics, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan
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Wang JZ, Lillia J, Farhan M, Bi L, Kim J, Burns J, Cheng TL. Digital mapping of a manual fabrication method for paediatric ankle-foot orthoses. Sci Rep 2021; 11:19068. [PMID: 34561543 PMCID: PMC8463714 DOI: 10.1038/s41598-021-98786-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Accepted: 09/13/2021] [Indexed: 11/09/2022] Open
Abstract
Ankle–foot orthoses (AFOs) are devices prescribed to improve mobility in people with neuromuscular disorders. Traditionally, AFOs are manually fabricated by an orthotist based on a plaster impression of the lower leg which is modified to correct for impairments. This study aimed to digitally analyse this manual modification process, an important first step in understanding the craftsmanship of AFO fabrication to inform the digital workflows (i.e. 3D scanning and 3D printing), as viable alternatives for AFO fabrication. Pre- and post-modified lower limb plaster casts of 50 children aged 1–18 years from a single orthotist were 3D scanned and registered. The Euclidean distance between the pre- and post-modified plaster casts was calculated, and relationships with participant characteristics (age, height, AFO type, and diagnosis) were analysed. Modification maps demonstrated that participant-specific modifications were combined with universally applied modifications on the cast's anterior and plantar surfaces. Positive differences (additions) ranged 2.12–3.81 mm, negative differences (subtractions) ranged 0.76–3.60 mm, with mean differences ranging from 1.37 to 3.12 mm. Height had a medium effect on plaster additions (rs = 0.35). We quantified the manual plaster modification process and demonstrated a reliable method to map and compare pre- and post-modified casts used to fabricate children's AFOs.
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Affiliation(s)
- Joyce Zhanzi Wang
- University of Sydney School of Health Sciences, Faculty of Medicine and Health & Children's Hospital at Westmead, University of Sydney, Sydney, NSW, Australia. .,EPIC Lab, Kids Research, The Children's Hospital at Westmead, Westmead, NSW, 2145, Australia.
| | - Jonathon Lillia
- EPIC Lab, Kids Research, The Children's Hospital at Westmead, Westmead, NSW, 2145, Australia
| | - Muhannad Farhan
- University of Sydney School of Health Sciences, Faculty of Medicine and Health & Children's Hospital at Westmead, University of Sydney, Sydney, NSW, Australia.,EPIC Lab, Kids Research, The Children's Hospital at Westmead, Westmead, NSW, 2145, Australia.,Faculty of Medical Rehabilitation Science, Taibah University, Al Madinah Al Munawarah, Saudi Arabia
| | - Lei Bi
- School of Computer Science, Faculty of Engineering, University of Sydney, Sydney, NSW, Australia
| | - Jinman Kim
- School of Computer Science, Faculty of Engineering, University of Sydney, Sydney, NSW, Australia
| | - Joshua Burns
- University of Sydney School of Health Sciences, Faculty of Medicine and Health & Children's Hospital at Westmead, University of Sydney, Sydney, NSW, Australia.,EPIC Lab, Kids Research, The Children's Hospital at Westmead, Westmead, NSW, 2145, Australia
| | - Tegan L Cheng
- University of Sydney School of Health Sciences, Faculty of Medicine and Health & Children's Hospital at Westmead, University of Sydney, Sydney, NSW, Australia.,EPIC Lab, Kids Research, The Children's Hospital at Westmead, Westmead, NSW, 2145, Australia
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