Σφακιανάκης Αλέξανδρος
ΩτοΡινοΛαρυγγολόγος
Αναπαύσεως 5 Άγιος Νικόλαος
Κρήτη 72100
00302841026182
00306932607174
alsfakia@gmail.com

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Κυριακή 19 Ιουνίου 2022

Effects of Artificial Intelligence (AI)‐Assisted Dental Monitoring Intervention in Patients with Periodontitis: A Randomized Controlled Trial

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Abstract

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.

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