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An overview of artificial intelligence based applications for assisting digital data acquisition and implant planning procedures.
Revilla-León, Marta; Gómez-Polo, Miguel; Sailer, Irena; Kois, John C; Rokhshad, Rata.
Affiliation
  • Revilla-León M; Department of Restorative Dentistry, School of Dentistry, University of Washington, Seattle, Washington, USA.
  • Gómez-Polo M; Research and Digital Dentistry, Kois Center, Seattle, Washington, USA.
  • Sailer I; Department of Prosthodontics, School of Dental Medicine, Tufts University, Boston, Massachusetts, USA.
  • Kois JC; Department of Conservative Dentistry and Prosthodontics, Complutense University of Madrid, Madrid, Spain.
  • Rokhshad R; Advanced in Implant-Prosthodontics, School of Dentistry, Complutense University of Madrid, Madrid, Spain.
J Esthet Restor Dent ; 2024 May 17.
Article in En | MEDLINE | ID: mdl-38757761
ABSTRACT

OBJECTIVES:

To provide an overview of the current artificial intelligence (AI) based applications for assisting digital data acquisition and implant planning procedures. OVERVIEW A review of the main AI-based applications integrated into digital data acquisitions technologies (facial scanners (FS), intraoral scanners (IOSs), cone beam computed tomography (CBCT) devices, and jaw trackers) and computer-aided static implant planning programs are provided.

CONCLUSIONS:

The main AI-based application integrated in some FS's programs involves the automatic alignment of facial and intraoral scans for virtual patient integration. The AI-based applications integrated into IOSs programs include scan cleaning, assist scanning, and automatic alignment between the implant scan body with its corresponding CAD object while scanning. The more frequently AI-based applications integrated into the programs of CBCT units involve positioning assistant, noise and artifacts reduction, structures identification and segmentation, airway analysis, and alignment of facial, intraoral, and CBCT scans. Some computer-aided static implant planning programs include patient's digital files, identification, labeling, and segmentation of anatomical structures, mandibular nerve tracing, automatic implant placement, and surgical implant guide design.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Esthet Restor Dent Journal subject: ODONTOLOGIA Year: 2024 Type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Esthet Restor Dent Journal subject: ODONTOLOGIA Year: 2024 Type: Article Affiliation country: United States