An artificial intelligence based referral application to optimize orthodontic referrals in a public oral healthcare system

doi:10.1053/J.SODO.2021.05.011

Paper

An artificial intelligence based referral application to optimize orthodontic referrals in a public oral healthcare system

Published May 20, 2021 · Mariam Mohamed, D. Ferguson, A. Venugopal

Seminars in Orthodontics

Q2 SJR score

5

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0

Influential Citations

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Abstract

ABSTRACT An artificial intelligence expert system called the Computational Formulation of Orthodontic referral Decisions (CFOD) was created in order to provide decision-making for orthodontic diagnosis and referral in the Emirates public oral healthcare system. Purpose: The study purposes were to validate and implement the CFOD system, and to quantify GP and pediatric dentist referral patterns to the orthodontist specialist before and after implementation of the CFOD system. Materials & Methods: The CFOD system was created using eight mandatory malocclusion variables and a technology and programming stack including PHP, Codelgniter, MySQL and WampServer. The CFOD system was implemented and clinical dentists were trained following validation by 15 experienced orthodontist experts. Pre- and post CFOD system orthodontic referral patterns were analyzed. Results: Seven of eight mandatory malocclusion variables (except crowding) were directly correlated (r=1) with orthodontist expert evaluation which validated the CFOD system. A comparison of referral patterns of orthodontic patients before and after implementation and training of the CFOD system demonstrated a 10-fold increase for GP referrals and 2-fold for pediatric dentist referrals. Conclusions: An artificial intelligence expert system for orthodontic patient referral can improve the efficiency of a large public oral healthcare system such as found in the United Arab Emirates.

Study Snapshot

The CFOD system significantly increases GP referrals to orthodontist specialists, improving efficiency in public oral healthcare systems.

PopulationOlder adults (50-71 years)

Sample size24

MethodsObservational

OutcomesBody Mass Index projections

ResultsSocial networks mitigate obesity in older groups.

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An artificial intelligence based referral application to optimize orthodontic referrals in a public oral healthcare system

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Citations

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COVID-19 significantly impacted patients undergoing orthodontic treatment, but current patients experienced no issues, and teleorthodontics emerged as a viable option for access during lockdown periods.

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