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346383

Accuracy of Eyes of AI™ Artificial Intelligence Driven Platform for Lateral Cephalometric Analysis

Article

Last updated: 28 Dec 2024

Subjects

-

Tags

Orthodontics and Pedodontics

Abstract

Abstract
Aim: The objective of this prospective study was to evaluate the accuracy of cephalometric analyses acquired through manual tracing and the Eyes of AITM AI-driven web-based program.
Materials and Methods: This prospective study employed randomization conducted via computer software, with a determined sample size of 150 cases. Inclusion criteria encompassed good quality lateral cephalograms available in both digital and print formats, absence of artifacts that might hinder anatomical point location, and presence of a clear calibration ruler for magnification determination. Exclusion criteria included lateral cephalograms with identifiable motion artifacts, resolution disparity, or insufficient contrast, as well as those exhibiting positional errors indicated by ear rod markers. Each lateral cephalogram underwent tracing and analysis using the manual method, as well as Eyes of AITM software. Following landmark plotting, linear and angular measurements of Steiner, Downs, McNamara, and Jefferson analyses were calculated.
Results: A comparison of thirty-six cephalometric measurements of Steiner, Downs, McNamara, and Jefferson analyses obtained from manual tracing and AI-driven Eyes of AITM revealed a Concordance Correlation Coefficient (CCC) value above 0.76 for all parameters, indicating strong agreement between manual and AI-driven cephalometric measurements. Furthermore, a CCC value exceeding 0.9 was observed for twenty-eight parameters, indicative of very strong agreement.
Conclusion: Automated lateral cephalometric measurements obtained from Eyes of AITM are accurate when compared to manual measurements.

DOI

10.21608/asdj.2024.277176.1229

Keywords

Eyes of AI™, Cephalometric analysis, artificial intelligence, orthodontic diagnosis

Authors

First Name

Hatem

Last Name

Saifeldin

MiddleName

-

Affiliation

Orthodontic Department, Faculty of Dentistry, Ain Shams University

Email

hatemsaifeldin@dent.asu.edu.eg

City

-

Orcid

0000-0002-3542-4570

First Name

Juan

Last Name

Osorio

MiddleName

-

Affiliation

Eyes of AI™(EAI), Sydney NSW 2000, Australia

Email

juan.osorio@eyesofai.com

City

-

Orcid

-

First Name

Mingze

Last Name

Xi

MiddleName

-

Affiliation

Data61, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Sydney, NSW 2122, Australia

Email

mingze.xi@csiro.au

City

-

Orcid

0000-0003-1291-4136

First Name

Barbara

Last Name

Safwat

MiddleName

-

Affiliation

Eyes of AI™(EAI), Sydney NSW 2000, Australia

Email

barbara.safwat@eyesofai.com

City

-

Orcid

-

First Name

Muhammad

Last Name

Khokher

MiddleName

Rizwan

Affiliation

Data61, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Sydney, NSW 2122, Australia

Email

rizwan.khokher@csiro.au

City

-

Orcid

0000-0002-7913-6837

First Name

Shenghong

Last Name

Li

MiddleName

-

Affiliation

Data61, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Sydney, NSW 2122, Australia

Email

shenghong.li@csiro.au

City

-

Orcid

0000-0002-5516-9394

First Name

Mostafa

Last Name

Ashmawy

MiddleName

S

Affiliation

Oral Radiology Department, Faculty of Dentistry, Ain Shams University

Email

mostafasaad@dent.asu.edu.eg

City

cairo

Orcid

0000-0001-9292-6887

First Name

Lobna

Last Name

Shalaby

MiddleName

-

Affiliation

Orthodontic Department, Faculty of Dentistry, Ain Shams University

Email

lobnashalaby@dent.asu.edu.eg

City

-

Orcid

0009-0006-8610-9227

First Name

Samuel

Last Name

Khela

MiddleName

-

Affiliation

Dental Biomaterials Department, Faculty of Dentistry, Ain Shams University

Email

samuel.khela@dent.asu.edu.eg

City

-

Orcid

009000151977212

First Name

Khoa

Last Name

Le

MiddleName

-

Affiliation

Eyes of AI™(EAI), Sydney NSW 2000, Australia

Email

khoa.le@eyesofai.com

City

-

Orcid

-

First Name

Sen

Last Name

Le

MiddleName

-

Affiliation

Eyes of AI™(EAI), Sydney NSW 2000, Australia

Email

sen.le@eyesofai.com

City

-

Orcid

-

First Name

Dadong

Last Name

Wang

MiddleName

-

Affiliation

Data61, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Sydney, NSW 2122, Australia

Email

dadong.wang@csiro.au

City

-

Orcid

0000-0003-0409-2259

Volume

33

Article Issue

1

Related Issue

46710

Issue Date

2024-03-01

Receive Date

2024-03-16

Publish Date

2024-03-01

Page Start

1

Page End

10

Print ISSN

1110-7642

Online ISSN

2735-5039

Link

https://asdj.journals.ekb.eg/article_346383.html

Detail API

https://asdj.journals.ekb.eg/service?article_code=346383

Order

2

Type

Original articles

Type Code

1,638

Publication Type

Journal

Publication Title

Ain Shams Dental Journal

Publication Link

https://asdj.journals.ekb.eg/

MainTitle

Accuracy of Eyes of AI™ Artificial Intelligence Driven Platform for Lateral Cephalometric Analysis

Details

Type

Article

Created At

28 Dec 2024