Evaluating the role of AI in predicting the success of dental implants based on preoperative CBCT images: A randomized controlled trial

Evaluating the role of AI in predicting the success of dental implants based on preoperative CBCT images: A randomized controlled trial

Background: Dental implant surgery has become a widely accepted method for replacing missing teeth. However, the success of dental implant procedures can be influenced by various factors, including the quality of preoperative planning and assessment. Cone beam computed tomography (CBCT) imaging prov...

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Bibliographic Details
Main Authors: R S Senthil Rajan, H S Kiran Kumar, Anand Sekhar, Davis Nadakkavukaran, Shaikh M A. Feroz, Praveen Gangadharappa
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2024-01-01
Series:Journal of Pharmacy and Bioallied Sciences
Subjects:
artificial intelligence (ai)
cone beam computed tomography (cbct)
dental implants
implant success
preoperative assessment
randomized controlled trial (rct)
Online Access:http://www.jpbsonline.org/article.asp?issn=0975-7406;year=2024;volume=16;issue=5;spage=886;epage=888;aulast=Senthil

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http://www.jpbsonline.org/article.asp?issn=0975-7406;year=2024;volume=16;issue=5;spage=886;epage=888;aulast=Senthil

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