Beyond the Microscope (Paperback)

Swerna R.

ISBN 10: 6209161596 / ISBN 13: 9786209161599

Published by LAP Lambert Academic Publishing, 2025

About this Item

Paperback. Artificial intelligence (AI) is revolutionizing oral cancer and oral potentially malignant disorders (OPMDs) care by enabling earlier, more accurate diagnosis and personalized management. Through advanced machine learning and deep learning models, AI analyzes clinical images, histopathology slides, and biomarker data to detect malignant and precancerous changes with high sensitivity and specificity, often outperforming traditional methods. AI tools, including smartphone-based imaging and telemedicine platforms, expand access to affordable screening in resource-limited areas. Digital pathology combined with AI enhances diagnostic reproducibility and risk prediction. Moreover, AI-driven biomarker analysis and predictive modeling facilitate personalized treatment planning and improved prognosis. Despite challenges like data standardization and ethical concerns, AI's integration into oral oncology promises to democratize care, reduce mortality, and improve patient outcomes globally by transforming subjective microscopy into objective, data-driven precision medicine. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Seller Inventory # 9786209161599

Bibliographic Details

• Title: Beyond the Microscope (Paperback)
• Publisher: LAP Lambert Academic Publishing
• Publication Date: 2025
• Language: English
• ISBN 10: 6209161596
• ISBN 13: 9786209161599
• Binding: Paperback
• Condition: new

About this title

Synopsis

Artificial intelligence (AI) is revolutionizing oral cancer and oral potentially malignant disorders (OPMDs) care by enabling earlier, more accurate diagnosis and personalized management. Through advanced machine learning and deep learning models, AI analyzes clinical images, histopathology slides, and biomarker data to detect malignant and precancerous changes with high sensitivity and specificity, often outperforming traditional methods. AI tools, including smartphone-based imaging and telemedicine platforms, expand access to affordable screening in resource-limited areas. Digital pathology combined with AI enhances diagnostic reproducibility and risk prediction. Moreover, AI-driven biomarker analysis and predictive modeling facilitate personalized treatment planning and improved prognosis. Despite challenges like data standardization and ethical concerns, AI's integration into oral oncology promises to democratize care, reduce mortality, and improve patient outcomes globally by transforming subjective microscopy into objective, data-driven precision medicine.