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AI-DRIVEN NASOALVEOLAR MOLDING DESIGN FOR CLEFT PATIENTS MAY BE A PROMISING BUT EVOLVING APPROACH

Research output: Contribution to journal › Comment/debate

1 Scopus citations

Abstract

Article Title and Bibliographic Information: Artificial intelligence-driven automation of nasoalveolar molding device planning: A systematic review. Alqutaibi AY, Hamadallah HH, Alassaf MS, Othman AA, Qazali AA, Alghauli MA. J Prosthet Dent. 2024 Oct 4:S0022-3913(24)00637-1. doi: 10.1016/j.prosdent.2024.09.011. Epub ahead of print. PMID: 39368883. Source of Funding: This research did not receive any grant from any funding agency in the public, commercial, or not-for- profit sectors. The authors declared that they had no financial interests or personal relationships that could influence the work reported in the study. Type of Study/Design: Systematic Review.

Original languageEnglish
Article number102131
JournalJournal of Evidence-Based Dental Practice
Volume25
Issue number2
DOIs
StatePublished - Jun 2025

Keywords

  • Algorithm
  • Artificial Intelligence (AI)
  • Convolutional neural network
  • Deep learning
  • Machine learning
  • Nasoalveolar molding

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