Publication:

Evaluation of an Intraoral Camera with an AI-Based Application for the Detection of Gingivitis

Date

Date

Date
2025
Journal Article
Published version

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Ehrensperger, C., Körner, P., Svellenti, L., Attin, T., & Sahrmann, P. (2025). Evaluation of an Intraoral Camera with an AI-Based Application for the Detection of Gingivitis. Journal of Clinical Medicine, 14(15), 5580. https://doi.org/10.3390/jcm14155580

Abstract

Abstract

Abstract

With a global prevalence ranging from 50% to 100%, gingivitis is considered the most common oral disease in adults worldwide. It is characterized by clinical signs of inflammation, such as redness, swelling and bleeding, on gentle probing. Although it is considered a milder form of periodontal disease, gingivitis plays an important role in overall oral health. Early detection and treatment are essential to prevent progression to more severe conditions. Typically, diagnosis is performed by dental professionals, as individuals are often

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Creators (Authors)

  • Ehrensperger, Cécile
  • Körner, Philipp
  • Svellenti, Leonardo
  • Attin, Thomas
  • Sahrmann, Philipp

Journal/Series Title

Journal/Series Title

Journal/Series Title

Volume

Volume

Volume
14

Number

Number

Number
15

Page range/Item number

Page range/Item number

Page range/Item number
5580

Item Type

Item Type

Item Type
Journal Article

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Keywords

AI, camera-based diagnostics, deep learning, dental imaging, digital dentistry, gingivitis, oral health assessment

Language

Language

Language
English

Publication date

Publication date

Publication date
2025-08-07

Date available

Date available

Date available
2026-01-13

Publisher

Publisher

Publisher

ISSN or e-ISSN

ISSN or e-ISSN

ISSN or e-ISSN
2077-0383

OA Status

OA Status

OA Status
Gold

Free Access at

Free Access at

Free Access at
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PubMed ID

PubMed ID

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Citation copied

Ehrensperger, C., Körner, P., Svellenti, L., Attin, T., & Sahrmann, P. (2025). Evaluation of an Intraoral Camera with an AI-Based Application for the Detection of Gingivitis. Journal of Clinical Medicine, 14(15), 5580. https://doi.org/10.3390/jcm14155580

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