Brace bot using node-based workflow automation
Objectives: This study aimed to develop an AI-powered conversational assistant to automate orthodontic scheduling, patient reminders, and treatment monitoring. Methods: The system integrates Google GenAI with modular workflow nodes including calendar scheduling, CRM updates, messaging APIs, and progress monitoring through image analysis. Results: The system successfully automated appointment scheduling, hygiene reminders, aligner change alerts, progress monitoring, and compliance nudges, reducing administrative workload and improving patient adherence. Conclusions: AI-based automation offers scalable digital solutions for enhancing orthodontic patient engagement and workflow efficiency.
Authors
- Suraya Bano
- Sai Ankit Panda
Institutions
- Manav Rachna International Institute of Research and Studies (IN)
- Indian Institute of Science Bangalore (IN)
Publication Details
- Journal
- Indian Journal of Dental Research
- Published
- 2026-03-01
- DOI
- https://doi.org/10.4103/ijdr_202637s1_abs_89
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00