@article{Bianchi2023f,

title = {Artificial intelligence applications in orthodontics. },

author = {Miranda F and Barone S and Gillot M and Baquero B and Anchling L and Hutlin B and et al},

url = {https://doi.org/10.1080/19424396.2023.2195585},

year  = {2023},

date = {2023-04-13},

urldate = {2023-04-13},

journal = {Journal of the California Dental Association },

volume = {51},

issue = {1},

abstract = {Objective

This manuscript describes strategies for assessment of precision of several diagnostic artificial intelligence (AI) tools in orthodontics, available open-source image analysis platforms, as well as the use of three-dimensional (3D) surface models and superimpositions.



Results

The advances described in this manuscript present perspectives on the controversies of whether AI is smarter than clinicians and may replace human clinical decisions. A thorough orthodontic diagnosis requires comprehensive 3D analysis of the interrelationships among the dentition, craniofacial skeleton and soft tissues. Forecasts have indicated that 3D printing technology will provide more than 60% of all dental treatment needs by 2025, and orthodontic companies as well as remote monitoring companies are already using AI technology, being it essential that the clinicians are prepared and knowledgeable with the technology advances now available.



Conclusions

The AI applications in orthodontics rely on the implementation into diagnostic image records, data analysis for clinical practice and research applications. Continuous training and validation of the AI orthodontic image tools are essential for improving the performance and generalizability of these methods.},

keywords = {artificial intelligence, imaging, orthodontics, three-dimensional},

pubstate = {published},

tppubtype = {article}

}

@article{Oh2022h,

title = {The Significance of Utilizing a Corticotomy on Periodontal and Orthodontic Outcomes: A Systematic Review and Meta-Analysis},

author = {Gao J and Nguyen T and Oberoi S and Oh H and Kapila S Kao RT and Lin GH},

url = {https://pubmed.ncbi.nlm.nih.gov/34440034/},

doi = {10.3390/biology10080803},

year  = {2021},

date = {2021-08-19},

urldate = {2022-08-19},

journal = {Biology (Basel)},

volume = {10},

issue = {8},

pages = {803},

abstract = {Purpose: This systematic review compares the clinical and radiographic outcomes for patients who received only a corticotomy or periodontal accelerated osteogenic orthodontics (PAOO) with those who received a conventional orthodontic treatment.



Methods: An electronic search of four databases and a hand search of peer-reviewed journals for relevant articles published in English between January 1980 and June 2021 were performed. Human clinical trials of ≥10 patients treated with a corticotomy or PAOO with radiographic and/or clinical outcomes were included. Meta-analyses were performed to analyze the weighted mean difference (WMD) and confidence interval (CI) for the recorded variables.



Results: Twelve articles were included in the quantitative analysis. The meta-analysis revealed a localized corticotomy distal to the canine can significantly increase canine distalization (WMD = 1.15 mm, 95% CI = 0.18-2.12 mm, p = 0.02) compared to a conventional orthodontic treatment. In addition, PAOO also showed a significant gain of buccal bone thickness (WMD = 0.43 mm, 95% CI = 0.09-0.78 mm, p = 0.01) and an improvement of bone density (WMD = 32.86, 95% CI = 11.83-53.89, p = 0.002) compared to the corticotomy group.



Conclusion: Based on the findings of the meta-analyses, the localized use of a corticotomy can significantly increase the amount of canine distalization during orthodontic treatment. Additionally, the use of a corticotomy as a part of a PAOO procedure significantly increases the rate of orthodontic tooth movement and it is accompanied by an increased buccal bone thickness and bone density compared to patients undergoing a conventional orthodontic treatment.},

keywords = {acceleration, bone remodeling, orthodontics, peridontics, tooth movement technique},

pubstate = {published},

tppubtype = {article}

}

@article{Baumrind2015,

title = {Overview of a powerful tool for orthodontic research and teaching},

author = {Sheldon Baumrind and Sean Curry},

url = {http://162.214.24.32/~crilorg/wp-content/uploads/2018/12/American-Association-of-Orthodontists-Foundation-Craniofacial-Growth-Legacy-Collection-Overview-of-a-powerful-tool-for-orthodontic-research-and-teaching-S.-Baumrind-S.-Curry.pdf},

year  = {2015},

date = {2015-01-01},

journal = {Am. J. Orthodontics},

volume = {148},

number = {2},

pages = {217-225},

abstract = {This article reports on the current status of the American Association of Orthodontists Foundation (AAOF)

Craniofacial Growth Legacy Collection—an AAOF-supported multi-institutional project that uses the Internet

and cloud computing to collect and share craniofacial images and data for orthodontic research and education.

The project gives investigators and clinicians all over the world online access to longitudinal information on

craniofacial development in untreated children with malocclusions of various types. It also is a unique source

of control samples for testing the validity of consensually accepted beliefs about the effects of orthodontic treatment

or of failure to treat.},

keywords = {orthodontics, research, teaching, tool},

pubstate = {published},

tppubtype = {article}

}