The effectiveness of a novel artificial intelligence (AI) model in detecting oral and dental diseases

Despite current limitations, this study highlights the potential of machine learning AI models in the early detection and diagnosis of dental pathologies. AI integration has the scope to enhance clinicians' diagnostic workflows in dentistry, with advancements in neural networks and machine learning poised to solidify its role as a valuable diagnostic aid.

Authors

Institutions

Publication Details

Journal
BDJ Open
Published
2025-06-30
DOI
https://doi.org/10.1038/s41405-025-00336-6
Citations
3
Primary Topic
Dental Radiography and Imaging
Type
article
Field-Weighted Citation Impact
5.37
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The effectiveness of a novel artificial intelligence (AI) model in detecting oral and dental diseases

Ravi Rathod, Saffa Dean, Christopher Sproat
3 citations
BDJ Open
Dental Radiography and Imaging
5.37
article

The effectiveness of a novel artificial intelligence (AI) model in detecting oral and dental diseases

Ravi Rathod, Saffa Dean, Christopher Sproat
article en
3 citations

Abstract

Despite current limitations, this study highlights the potential of machine learning AI models in the early detection and diagnosis of dental pathologies. AI integration has the scope to enhance clinicians' diagnostic workflows in dentistry, with advancements in neural networks and machine learning poised to solidify its role as a valuable diagnostic aid.

BDJ OpenVol. 11(1)
Guy's and St Thomas' NHS Foundation Trust (GB), King's College Hospital NHS Foundation Trust (GB)
Openalex Percentile: Top 5%
Dental Radiography and Imaging
5.37
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.