Advancement and application of deep learning on detection of peri-implantitis

Title: Advancement and application of deep learning on detection of peri-implantitis

Abstract:

Artificial Intelligence I 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.

Biography:

Sanaz Heidarkhan Tehrani graduated in general dentistry and worked as a dentist for eight years. Then decided to continue education in oral and maxillofacial radiology. Now, as a denomaxillofacial radiologist, she is an assistant professor and faculty member at the Islamic Azad University of Medical Sciences. She has conducted several research studies and published case reports. Additionally, she has been invited to speak at the EXCIDA conference, the largest dental congress in Iran, for four consecutive years, as well as at continuing education courses of Iran medical council.