Artificial intelligence driven real-time digital oral microscopy for early detection of oral cancer and potentially malignant disorders

Confocal laser endomicroscopy (CLE) enables real-time diagnosis of oral cancer and potentially malignant disorders by in vivo microscopic tissue examination. One impediment to the widespread clinical adoption of this technology is the need for operator expertise in image interpretation. Here we review the application of AI to automatic tissue classification of CLE images and discuss the opportunities for integrating this technology to advance the adoption of real-time digital pathology thus improving speed, precision and reproducibility.

Authors

Publication Details

Journal
Exploration of Digital Health Technologies
Published
2025-01-22
DOI
https://doi.org/10.37349/edht.2025.101138
Citations
1
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
2.48
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article

Artificial intelligence driven real-time digital oral microscopy for early detection of oral cancer and potentially malignant disorders

Camile S. Farah, Simon A. Fox
1 citations
Exploration of Digital Health Technologies
AI in cancer detection
2.48
article

Artificial intelligence driven real-time digital oral microscopy for early detection of oral cancer and potentially malignant disorders

Camile S. Farah, Simon A. Fox
article en
1 citations

Abstract

Confocal laser endomicroscopy (CLE) enables real-time diagnosis of oral cancer and potentially malignant disorders by in vivo microscopic tissue examination. One impediment to the widespread clinical adoption of this technology is the need for operator expertise in image interpretation. Here we review the application of AI to automatic tissue classification of CLE images and discuss the opportunities for integrating this technology to advance the adoption of real-time digital pathology thus improving speed, precision and reproducibility.

Exploration of Digital Health TechnologiesVol. 3
Openalex Percentile: Top 12%
AI in cancer detection
2.48
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