Digital pathology: Revolutionizing oral and maxillofacial diagnostics.

Area of Science:

• Oral and Maxillofacial Pathology
• Digital Pathology
• Medical Imaging Analysis

Background:

• Digital pathology (DP) is transforming oral and maxillofacial pathology (OMP), improving diagnostic accuracy and efficiency.
• Whole Slide Imaging (WSI), Artificial Intelligence (AI), and telepathology are key components of DP in OMP.
• These technologies offer potential for enhanced cancer diagnosis through improved pattern recognition and predictive accuracy.

Purpose of the Study:

• To report on the potential of WSI, AI, and telepathology in OMP.
• To highlight the role of these technologies in remote consultations and automated image analysis.
• To discuss the benefits and challenges of integrating DP into OMP practice.

Main Methods:

• Review of current applications and potential of WSI, AI, and telepathology in OMP.
• Discussion of AI and Machine Learning (ML) advancements in diagnostic pattern recognition.
• Consideration of challenges including data management and ethical issues.

Main Results:

• DP, WSI, AI, and telepathology significantly enhance diagnostic accuracy and efficiency in OMP.
• AI and ML improve pattern recognition and predictive accuracy in cancer diagnosis.
• Remote consultations and automated image analysis are facilitated by these digital tools.

Conclusions:

• Digital pathology, WSI, AI, and telepathology hold significant promise for advancing OMP.
• Integration of these technologies can lead to improved patient outcomes.
• Further research is needed to address challenges and fully integrate DP into OMP practice.