Diagnostic accuracy of artificial intelligence-assisted caries detection: a clinical evaluation
Abstract Objective This clinical study aimed to evaluate the practical value of integrating an AI diagnostic model into clinical practice for caries detection using intraoral images. Methods In this prospective study, 4,361 teeth from 191 consecutive patients visiting an endodontics clinic were exam...
Saved in:
Main Authors: | Jing-Wen Zhang (Author), Jie Fan (Author), Fang-Bing Zhao (Author), Bing'er Ma (Author), Xiao-Qing Shen (Author), Yuan-Ming Geng (Author) |
---|---|
Format: | Book |
Published: |
BMC,
2024-09-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Detection of Malignant Melanoma Using Artificial Intelligence: An Observational Study of Diagnostic Accuracy
by: Michael Phillips, et al.
Published: (2019) -
Diagnostic Accuracy of 3D Ultrasound and Artificial Intelligence for Detection of Pediatric Wrist Injuries
by: Jack Zhang, et al.
Published: (2021) -
Accuracy of Artificial Intelligence-Based Photographic Detection of Gingivitis
by: Reinhard Chun Wang Chau, et al.
Published: (2023) -
Artificial Intelligence-Assisted Bone Age Assessment to Improve the Accuracy and Consistency of Physicians With Different Levels of Experience
by: Xi Wang, et al.
Published: (2022) -
Artificial Intelligence in Dental Caries Diagnosis and Detection: An Umbrella Review
by: Sapna Negi, et al.
Published: (2024)