# Digital pathology: Revolutionizing oral and maxillofacial diagnostics

**Authors:** Mrunali Ghanasham Gharat, Sneha Masne Deshpande, Swati Dhone, Vibhuti Shreesh Mhatre, Bhavani Nagendra Sangala, Jyotsna Sethumadhavan, Amit Patil, Prachi Gholap

PMC · DOI: 10.6026/9732063002001834 · Bioinformation · 2024-12-31

## TL;DR

Digital pathology is transforming oral and maxillofacial diagnostics by improving accuracy and enabling remote analysis with AI and telepathology.

## Contribution

This paper highlights the integration of Whole Slide Imaging, AI, and telepathology in advancing oral and maxillofacial diagnostics.

## Key findings

- Digital pathology enhances diagnostic accuracy and efficiency in oral and maxillofacial pathology.
- AI and machine learning improve pattern recognition and predictive accuracy in cancer diagnosis.
- Telepathology facilitates remote consultations and automated image analysis in the field.

## Abstract

Digital pathology (DP) has revolutionized oral and maxillofacial pathology (OMP) by enhancing diagnostic accuracy and
efficiency, leading to improved patient outcomes. Therefore, it is of interest to report on the potential of Whole Slide Imaging (WSI),
Artificial Intelligence (AI) and telepathology in OMP, highlighting their role in facilitating remote consultations and automated image
analysis. AI and Machine Learning (ML) have further advanced cancer diagnosis by improving pattern recognition and predictive accuracy.
While Digital pathology offers numerous benefits, challenges such as data management and ethical considerations remain. Future research
should explore ways to further integrate Digital pathology into OMP practice.

## Full-text entities

- **Diseases:** cancer (MESH:D009369)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## References

42 references — full list in the complete paper: https://tomesphere.com/paper/PMC11993382/full.md

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Source: https://tomesphere.com/paper/PMC11993382