COMPUTATIONAL PATHOLOGY IN ORAL POTENTIALLY MALIGNANT DISORDERS - Softcover

Kuttappan, Smitha; George Mathew, Deepu; Thomas, Priya

 
9786630091625: COMPUTATIONAL PATHOLOGY IN ORAL POTENTIALLY MALIGNANT DISORDERS

Inhaltsangabe

Computational pathology is an emerging field that integrates digital pathology, artificial intelligence (AI), machine learning (ML), and image analysis techniques to enhance the diagnosis, grading, risk assessment, and management of oral potentially malignant disorders (OPMDs). OPMDs, including oral leukoplakia, oral erythroplakia, oral submucous fibrosis, and oral lichen planus, possess varying risks of malignant transformation into oral squamous cell carcinoma (OSCC). Accurate prediction of this transformation remains a significant challenge in conventional histopathology due to interobserver variability and subjective interpretation. Computational pathology represents a transformative approach in the evaluation of OPMDs. By providing objective, quantitative, and reproducible analyses, it has the potential to improve diagnostic accuracy, predict malignant transformation more effectively, and facilitate personalized patient management, ultimately contributing to better outcomes in oral cancer prevention and early detection.

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Über die Autorin bzw. den Autor

Dr Smitha Kuttappan is a Senior resident in the Department of Oral & Maxillofacial Pathology at Annoor Dental College, Kerala. She has authored and co-authored several scientific publications in the field of Oral Pathology. Dr Smitha is also recognized for her innovative and academic achievements.

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