Preprints.org
Designing Artificial Intelligence Decision Support for Periodontal Care in Kazakhstan: A Three-Stakeholder Cross-Sectional Survey of Dentists, Primary Care Physicians and Patients
By Ayash Y, Ismailova A, Aidarkhanova A and 3 others.
Abstract
Background
/Objectives: Artificial intelligence (AI) tools for periodontal diagnosis are proliferating, yet little is known about what clinicians and patients in Central Asia expect from such systems. We elicited requirements for an AI-enabled periodontal decision-support system from three stakeholder groups in Kazakhstan and examined which patient-reported risk factors are associated with self-reported signs of periodontal disease.
Methods
A cross-sectional online survey (July–September 2026) enrolled 33 dentists, 91 primary health care (PHC) physicians and medical specialists, and 455 patients with periodontal disease. Proportions were reported with Wilson 95% confidence intervals (CI); groups were compared with Fisher’s exact, χ², Mann–Whitney and Kruskal–Wallis tests with effect sizes; multivariable logistic regression identified factors associated with self-reported periodontal signs.