AI Applications in Chin-Related Surgeries: Toward More Accurate and Predictable Results

Shaqayeq Ramezanzade; Sara  Haghighat; Azam Bakhshandeh; Fatemeh Nasiri; Lars Bjørndal

AI Applications in Chin-Related Surgeries: Toward More Accurate and Predictable Results

Shaqayeq Ramezanzade, Sara Haghighat, Azam Bakhshandeh, Fatemeh Nasiri, Lars Bjørndal

Section 02

Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Communication

Abstract

The chin is a fundamental part of completing the facial harmony and balance and genioplasty is the art of surgical correction performed due to aesthetic or medical reasons. AI is the simulation of human intelligence by machines. Several important subdisciplines of artificial intelligence have been used in maxillofacial surgeries. Of those, machine learning (ML) and a subbranch of ML called deep learning (DL) have been scarcely assessed in chin-related feature detection and genioplasty outcome prediction. In this chapter, the current and potential uses of AI in facial plastic surgeries and more specifically in chin-related surgeries are reviewed. In addition, the current limitations and future trends of AI in this field are highlighted.

Original language	English
Title of host publication	AI Applications in Chin-Related Surgeries: Toward More Accurate and Predictable Results
Publisher	Springer
Publication date	2024
Chapter	11
Publication status	Published - 2024

Series	Handbook of Oral and Maxillofacial Surgery and Implantology

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Cite this

AI Applications in Chin-Related Surgeries: Toward More Accurate and Predictable Results. / Ramezanzade, Shaqayeq; Haghighat, Sara ; Bakhshandeh, Azam et al.
AI Applications in Chin-Related Surgeries: Toward More Accurate and Predictable Results. Springer, 2024. (Handbook of Oral and Maxillofacial Surgery and Implantology).

Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Communication

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