DePerio: Deep Learning‐Based Oral Inflammatory Load Quantification for Periodontal Applications

Periodontal disease (PD) is a chronic condition associated with systemic risks like cardiovascular disease and diabetes. Traditional diagnostics detect advanced PD but often miss early‐stage cases, where timely intervention is critical. Oral polymorphonuclear neutrophils (oPMNs) are emerging as key biomarkers for periodontal health. This study presents DePerio, an AI‐driven deep neural network (DNN) method that isolates and quantifies oPMNs from saliva using their natural hydrophilic adhesion on treated surfaces. Trained on thousands of annotated bright‐field images, DePerio accurately detects and counts oPMNs within milliseconds. Validation against standard techniques confirms its precision in measuring oral inflammatory load (OIL). Clinical testing on 51 samples from healthy and periodontitis patients demonstrates DePerio's capability to distinguish five OIL levels, assisting in PD severity assessment. This low‐complexity, AI‐powered tool offers a rapid, reliable approach for early PD detection and management in dental practices.

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Publication Details

Journal
Advanced Intelligent Systems
Published
2025-08-31
DOI
https://doi.org/10.1002/aisy.202500357
Primary Topic
Oral microbiology and periodontitis research
Type
article
Field-Weighted Citation Impact
0.00

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article

DePerio: Deep Learning‐Based Oral Inflammatory Load Quantification for Periodontal Applications

Shahin Ebrahimi, Michael Glogauer, Fatemeh Soheili, Navid Mohaghegh et al.
Advanced Intelligent Systems
Oral microbiology and periodontitis research
article

DePerio: Deep Learning‐Based Oral Inflammatory Load Quantification for Periodontal Applications

Shahin Ebrahimi, Michael Glogauer, Fatemeh Soheili, Navid Mohaghegh, Mahdi S. M. H. Daneshvar, Ebrahim Ghafar‐Zadeh, Chunxiang Sun, Negin Masoudifar, Yasaman Tahernezhad, Mahdi Amrollahi Biouki
article en

Abstract

Periodontal disease (PD) is a chronic condition associated with systemic risks like cardiovascular disease and diabetes. Traditional diagnostics detect advanced PD but often miss early‐stage cases, where timely intervention is critical. Oral polymorphonuclear neutrophils (oPMNs) are emerging as key biomarkers for periodontal health. This study presents DePerio, an AI‐driven deep neural network (DNN) method that isolates and quantifies oPMNs from saliva using their natural hydrophilic adhesion on treated surfaces. Trained on thousands of annotated bright‐field images, DePerio accurately detects and counts oPMNs within milliseconds. Validation against standard techniques confirms its precision in measuring oral inflammatory load (OIL). Clinical testing on 51 samples from healthy and periodontitis patients demonstrates DePerio's capability to distinguish five OIL levels, assisting in PD severity assessment. This low‐complexity, AI‐powered tool offers a rapid, reliable approach for early PD detection and management in dental practices.

Advanced Intelligent SystemsVol. 7(12)
University Health Network (CA), University of Toronto (CA), York University (CA)
York University, Canada First Research Excellence Fund, Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 75%
Oral microbiology and periodontitis research
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DePerio: Deep Learning‐Based Oral Inflammatory Load Quantification for Periodontal Applications — Shahin Ebrahimi, Michael Glogauer, et al. · Advanced Intelligent Systems (2025) | TGRS Research Map | TGRS