Niusha zare
Adv. Artif. Intell. Mach. Learn., 4 (2):2290-2301
Niusha zare : postgraduate student, Department of Operative Dentistry, University of Southern California, USA
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
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.