Caries Detection and Classification in Photographs Using an Artificial Intelligence-Based Model—An External Validation Study

The validated AI-based model showed promising diagnostic performance in detecting and classifying caries using an independent image dataset. Future studies are needed to investigate the validity, reliability and practicability of AI-based models using dental photographs from different image sources and/or patient groups.

Authors

Institutions

Publication Details

Journal
Diagnostics
Published
2024-10-14
DOI
https://doi.org/10.3390/diagnostics14202281
Citations
6
Primary Topic
Dental Radiography and Imaging
Type
article
Field-Weighted Citation Impact
2.96
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Caries Detection and Classification in Photographs Using an Artificial Intelligence-Based Model—An External Validation Study

Nour Ammar, Falk Schwendicke, Jan Kühnisch, Andreas Keßler et al.
6 citations
Diagnostics
Dental Radiography and Imaging
2.96
article

Caries Detection and Classification in Photographs Using an Artificial Intelligence-Based Model—An External Validation Study

Nour Ammar, Falk Schwendicke, Jan Kühnisch, Andreas Keßler, Helena Dujic, Julia Neumayr, Elisabeth Frenkel, Julia Schwarzmaier
article en
6 citations

Abstract

The validated AI-based model showed promising diagnostic performance in detecting and classifying caries using an independent image dataset. Future studies are needed to investigate the validity, reliability and practicability of AI-based models using dental photographs from different image sources and/or patient groups.

DiagnosticsVol. 14(20)
University of Freiburg (DE), Ludwig-Maximilians-Universität München (DE)
Openalex Percentile: Top 9%
Dental Radiography and Imaging
2.96
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Caries Detection and Classification in Photographs Using an Artificial Intelligence-Based Model—An External Validation Study — Nour Ammar, Falk Schwendicke, et al. · Diagnostics (2024) | TGRS Research Map | TGRS