Integrating Artificial Intelligence in Oral Pathology Practice: The Digital Leap

Artificial Intelligence (AI) is transforming oral pathology, enhancing diagnostic precision, efficiency, and workflow automation. AI-based models (Natural Language Processing), particularly machine learning (ML), deep learning (DL) (convolutional neural networks), and computer vision, improve disease detection, classification, and prognosis. This review highlights AI's key applications, benefits, and challenges in oral pathology. Despite AI’s potential to standardize pathology practices and improve patient outcomes, ethical concerns, data privacy issues, and integration challenges remain barriers. Future advancements in AI-driven predictive modeling, histopathology automation, and digital pathology platforms will further enhance clinical decision-making and oral disease management.

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Publication Details

Journal
ENVIRO Dental Journal
Published
2025-07-30
DOI
https://doi.org/10.12944/edj.06.si01.04
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
0.00
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Integrating Artificial Intelligence in Oral Pathology Practice: The Digital Leap

Geetpriya Kaur, Aparna Pathak, Rujuta Patil, Bhuvan Nagpal et al.
ENVIRO Dental Journal
AI in cancer detection
article

Integrating Artificial Intelligence in Oral Pathology Practice: The Digital Leap

Geetpriya Kaur, Aparna Pathak, Rujuta Patil, Bhuvan Nagpal, Shivani Mungala
article en

Abstract

Artificial Intelligence (AI) is transforming oral pathology, enhancing diagnostic precision, efficiency, and workflow automation. AI-based models (Natural Language Processing), particularly machine learning (ML), deep learning (DL) (convolutional neural networks), and computer vision, improve disease detection, classification, and prognosis. This review highlights AI's key applications, benefits, and challenges in oral pathology. Despite AI’s potential to standardize pathology practices and improve patient outcomes, ethical concerns, data privacy issues, and integration challenges remain barriers. Future advancements in AI-driven predictive modeling, histopathology automation, and digital pathology platforms will further enhance clinical decision-making and oral disease management.

ENVIRO Dental JournalVol. 6(01 Special Issue)
Al-Ameen Medical College (IN), SVS Medical College (IN), CS Diagnostics (DE)
Openalex Percentile: Top 90%
AI in cancer detection
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