Development, Evaluation, and Comparison of an Indigenous ‘APDS’ AI-based Digital Application for Effective Shade Selection of Silicone Maxillofacial Prosthesis: Protocol for A Cross-sectional Study
ZK05-ZK08
Correspondence
Priyadarshani G Pawar,
PhD Student, Department of Prosthodontics, Sharad Pawar Dental College and Hospital, Sawangi, Wardha, Maharashtra, India.
E-mail: priyadarshanipawar77@gmail.com
Introduction: Reconstruction of maxillofacial defects is challenging in achieving aesthetic results. Replicating natural skin colour in maxillofacial prosthesis has been traditionally done using trial-and-error methods. However, with their respective limitations, multiple methods have been developed recently, like colourimeter and spectrophotometer.
Need of the study: The natural appearance of the prosthesis significantly impacts the emotional and psychological well-being of patients. Thus, aesthetics have become a primary concern. Consequently, the challenge of accurately matching the colour of maxillofacial prostheses is evident. To address this, there is a need to develop customised shade guides and advanced digitised shade-matching applications with the assistance of Artificial Intelligence (AI). Therefore, a concoction of a customised silicon shade guide is contemplated with Advanced Programme in Data Sciences (APDS) AI-based digital application, and its reproducibility in clinical practice will be analysed.
Aim: Phase 1- To develop and validate a customised broad spectrum silicon shade guide and APDS AI-based digital application for the Indian population.
Phase 2- Comparative evaluation of the efficacy of indigenous APDS AI-based digital application with available shade guide systems for shade selection for silicone maxillofacial prostheses.
Materials and Methods: This cross-sectional study involves fabricating the shade guide using medical-grade room temperature vulcanising silicone, based on an observational survey. The shade guide will consist of three main groups (ABC), divided into different subgroups representing lighter to darker skin shades. The accuracy of the shade guide will be evaluated using aspectrophotometer. The APDS AI-based digital application will be developed using the reference from the customised broad-spectrum maxillofacial shade guide. The efficacy of the application will be evaluated through visual assessment of colour matching by fabricating facial veneers for participants. Investigators will assess the consent of perfect colour match. The data will be statistically analysed.