AI monitoring at home improves treatment outcomes for patients with periodontitis

Written By : Dr. Shravani Dali |Medically Reviewed By : Dr. Kamal Kant Kohli Published On 2022-06-21T20:00:14+05:30 | Updated On 21 Jun 2022 8:00 PM IST

Using Artificial Intelligence monitoring at home had a positive effect on treatment outcomes for patients with periodontitis according to a recent study published in the Journal of Clinical Periodontology.

A study was conducted to evaluate the effects of an at-home AI-assisted dental monitoring application on treatment outcomes in patients with periodontitis.

Participants with periodontitis were recruited and randomly assigned to an AI (AI; n = 16), AI and human counselling (AIHC; n = 17), or control (CG; n = 20) group. All participants received nonsurgical periodontal treatment. They 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 counselling over three months. Periodontal parameters were collected at baseline and follow-ups. A mixed-design model analyzed the follow-up effects over time.

The results of the study are:

The AI and AIHC groups respectively exhibited greater improvement in probing pocket depth, clinical attachment level and plaque index 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.

Thus, using AI monitoring at home had a positive effect on treatment outcomes for patients with periodontitis. Patients with AI-assisted health counselling exhibited better treatment outcomes than did patients who used AI monitoring alone.

Reference:

Effects of Artificial Intelligence (AI)-Assisted Dental Monitoring Intervention in Patients with Periodontitis: A Randomized Controlled Trial by Kang-Ling Shen et al. published in the Journal of Clinical Periodontology

https://doi.org/10.1111/jcpe.13675

Keywords:

Journal of Clinical Periodontology, Effects, Artificial Intelligence, Assisted, Dental, Monitoring, Kang-Ling Shen,Chiung-Lin Huang,Ying-Chun Lin, Je-Kang Du DDS,Fu-Li Chen, Yuji Kabasawa, Chih-Chang Chen, Hsiao-Ling Huang, Periodontitis

Artificial IntelligenceJournal of Clinical PeriodontologyDental MonitoringPeriodontitis

Source : Journal of Clinical Periodontology

Dr. Shravani Dali

Dr. Shravani Dali has completed her BDS from Pravara institute of medical sciences, loni. Following which she extensively worked in the healthcare sector for 2+ years. She has been actively involved in writing blogs in field of health and wellness. Currently she is pursuing her Masters of public health-health administration from Tata institute of social sciences. She can be contacted at editorial@medicaldialogues.in.

Dr. Kamal Kant Kohli

Dr Kamal Kant Kohli-MBBS, DTCD- a chest specialist with more than 30 years of practice and a flair for writing clinical articles, Dr Kamal Kant Kohli joined Medical Dialogues as a Chief Editor of Medical News. Besides writing articles, as an editor, he proofreads and verifies all the medical content published on Medical Dialogues including those coming from journals, studies,medical conferences,guidelines etc. Email: drkohli@medicaldialogues.in. Contact no. 011-43720751