ISSN :2582-9793

Advancement and application of deep learning on detection of peri-implantitis, a narrative review

Review Article (Published On: 28-Jun-2024 )
Advancement and application of deep learning on detection of peri-implantitis, a narrative review
DOI : https://dx.doi.org/10.54364/AAIML.2024.42132

Niusha zare

Adv. Artif. Intell. Mach. Learn., 4 (2):2290-2301

Niusha zare : postgraduate student, Department of Operative Dentistry, University of Southern California, USA

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DOI: https://dx.doi.org/10.54364/AAIML.2024.42132

Article History: Received on: 01-Apr-24, Accepted on: 21-Jun-24, Published on: 28-Jun-24

Corresponding Author: Niusha zare

Email: zareniusha@gmail.com

Citation: Mahmood Dashti, et al. Advancement and Application of Deep Learning on Detection of Peri-Implantitis, a Narrative Review. Advances in Artificial Intelligence and Machine Learning. 2024;4(2):132


Abstract

    

AI is expanding and thriving quickly across every sector. It can acquire knowledge from handling tasks and human expertise that usually necessitate human-like intelligence. It has also been utilized in dentistry and medicine. Peri-implantitis is a pathological phenomenon observed in tissues surrounding dental implants, marked by inflammation in the peri-implant mucosa and continuous depletion of supporting bone. Recently, developments in advanced implant dentistry, imaging methods and digital transformation have come together to introduce novel dental implantology procedures. For the detection of peri-implant disorders, particularly peri-implantitis, AI employing 2D radiographs can increase patient care in implant dentistry. This narrative review will describe the role of Al in dentistry and medicine, specifically in the detection of peri-implantitis.

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