AI and face-driven orthodontics a scoping review of digital advances in diagnosis and treatment planning /

In the age of artificial intelligence (AI), technological progress is changing established workflows and enabling some basic routines to be updated. In dentistry, the patient’s face is a crucial part of treatment planning, although it has always been difficult to grasp in an analytical way. This rev...

Teljes leírás

Elmentve itt :
Bibliográfiai részletek
Szerzők: Tomášik Juraj
Zsoldos Márton
Oravcová Ľubica
Lifková Michaela
Pavleová Gabriela
Strunga Martin
Thurzo Andrej
Dokumentumtípus: Cikk
Megjelent: 2024
Sorozat:AI 5 No. 1
Tárgyszavak:
doi:10.3390/ai5010009

mtmt:35155103
Online Access:http://publicatio.bibl.u-szeged.hu/34513
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520 3 |a In the age of artificial intelligence (AI), technological progress is changing established workflows and enabling some basic routines to be updated. In dentistry, the patient’s face is a crucial part of treatment planning, although it has always been difficult to grasp in an analytical way. This review highlights the current digital advances that, thanks to AI tools, allow us to implement facial features beyond symmetry and proportionality and incorporate facial analysis into diagnosis and treatment planning in orthodontics. A Scopus literature search was conducted to identify the topics with the greatest research potential within digital orthodontics over the last five years. The most researched and cited topic was artificial intelligence and its applications in orthodontics. Apart from automated 2D or 3D cephalometric analysis, AI finds its application in facial analysis, decision-making algorithms as well as in the evaluation of treatment progress and retention. Together with AI, other digital advances are shaping the face of today’s orthodontics. Without any doubts, the era of “old” orthodontics is at its end, and modern, face-driven orthodontics is on the way to becoming a reality in modern orthodontic practices. 
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700 0 1 |a Zsoldos Márton  |e aut 
700 0 1 |a Oravcová Ľubica  |e aut 
700 0 1 |a Lifková Michaela  |e aut 
700 0 1 |a Pavleová Gabriela  |e aut 
700 0 1 |a Strunga Martin  |e aut 
700 0 1 |a Thurzo Andrej  |e aut 
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