Background: Orthodontic diagnosis and treatment planning are undergoing a revolution thanks to artificial intelligence (AI), which provides innovative answers to age-old problems. The quick development of AI technology offers fascinating prospects to improve orthodontic patient care. Aim: To evaluate the current state and effectiveness of AI technology in orthodontic diagnosis, treatment planning, and clinical decision-making. Methodology: Using PRISMA principles as a guide, a comprehensive search approach was used to find pertinent publications published between 2017 and 2023. Using pre-established search phrases, databases such as PubMed, Embase, Scopus, Web of Science, and Google Scholar were examined. The selection criteria were limited to peer-reviewed English research articles that examined the use of artificial intelligence (AI) in orthodontics, with a particular focus on diagnosis, treatment planning, and clinical decision-making. Three reviewers carried out the data extraction and quality assessment separately, guaranteeing thorough coverage and methodological rigor. The usefulness and possible drawbacks of artificial intelligence (AI) in orthodontic practice were evaluated by analyzing the synthesized data from several studies. Results: 11 pertinent articles demonstrating the use of AI algorithms in orthodontic diagnosis and treatment planning were found during the screening process. This research showed how effective AI is at enhancing treatment outcomes, streamlining workflow procedures, and increasing diagnostic accuracy. Numerous AI applications were examined, demonstrating their revolutionary influence on orthodontic care. These included treatment result prediction, virtual treatment simulation, patient monitoring, and occlusal analysis. Conclusion: Future research should focus on developing stringent protocols and interdisciplinary collaboration in order to ensure optimal AI integration and optimize its benefits in orthodontic treatment. Conclusively, this methodical examination provides noteworthy perspectives on the innovative function of artificial intelligence (AI) in orthodontic therapy, potentially leading to enhanced patient results and professional judgment.

ROLE OF ARTIFICIAL INTELLIGENCE (AI) IN ORTHODONTIC DIAGNOSIS AND TREATMENT PLANNING: A SYSTEMATIC REVIEW

Marrapodi M. M.;Russo D.;
2024

Abstract

Background: Orthodontic diagnosis and treatment planning are undergoing a revolution thanks to artificial intelligence (AI), which provides innovative answers to age-old problems. The quick development of AI technology offers fascinating prospects to improve orthodontic patient care. Aim: To evaluate the current state and effectiveness of AI technology in orthodontic diagnosis, treatment planning, and clinical decision-making. Methodology: Using PRISMA principles as a guide, a comprehensive search approach was used to find pertinent publications published between 2017 and 2023. Using pre-established search phrases, databases such as PubMed, Embase, Scopus, Web of Science, and Google Scholar were examined. The selection criteria were limited to peer-reviewed English research articles that examined the use of artificial intelligence (AI) in orthodontics, with a particular focus on diagnosis, treatment planning, and clinical decision-making. Three reviewers carried out the data extraction and quality assessment separately, guaranteeing thorough coverage and methodological rigor. The usefulness and possible drawbacks of artificial intelligence (AI) in orthodontic practice were evaluated by analyzing the synthesized data from several studies. Results: 11 pertinent articles demonstrating the use of AI algorithms in orthodontic diagnosis and treatment planning were found during the screening process. This research showed how effective AI is at enhancing treatment outcomes, streamlining workflow procedures, and increasing diagnostic accuracy. Numerous AI applications were examined, demonstrating their revolutionary influence on orthodontic care. These included treatment result prediction, virtual treatment simulation, patient monitoring, and occlusal analysis. Conclusion: Future research should focus on developing stringent protocols and interdisciplinary collaboration in order to ensure optimal AI integration and optimize its benefits in orthodontic treatment. Conclusively, this methodical examination provides noteworthy perspectives on the innovative function of artificial intelligence (AI) in orthodontic therapy, potentially leading to enhanced patient results and professional judgment.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11591/547053
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