LAUSR

AIM To evaluate the effects of an at-home AI-assisted dental monitoring application on treatment outcomes in patients with periodontitis. MATERIALS AND METHODS Participants with periodontitis were recruited and randomly assigned into an AI (AI; n = 16), AI and human counseling (AIHC; n = 17), or control (CG; n = 20) group. All participants received nonsurgical periodontal treatment. We employed an AI-assisted tool called DENTAL MONITORING® (DM) intervention, a new technological AI monitoring product that utilizes smartphone cameras for intraoral scanning and assessment. Patients in the AI and AIHC groups respectively received additional (a) DM or (b) DM with real-person counseling over three months. Periodontal parameters were collected at baseline and follow-ups. A mixed-design model analyzed the follow-up effects over time. RESULTS The AI and AIHC groups respectively exhibited greater improvement in probing pocket depth [Mean diff = -0.9±0.4 and -1.4±0.3, effect size (ES) = 0.76 and 1.98], clinical attachment level (Mean diff = -0.8±0.3 and -1.4±0.3, ES = 0.84 and 1.77) and plaque index (Mean diff = -0.5±0.2 and -0.7±0.2, ES = 0.93 and 1.81) at 3-month follow-up than the CG did. The AIHC group had a greater reduction in probing pocket depth (ES = 0.46) and clinical attachment level (ES = 0.64) at the 3-month follow-up compared with the AI group. CONCLUSION Using AI monitoring at home had a positive effect on treatment outcomes for patients with periodontitis. Patients with AI-assisted health counseling exhibited better treatment outcomes than did patients who used AI monitoring alone. This article is protected by copyright. All rights reserved.