Description
Digital and AI Driven Oral Pathology: Applications in Diagnostic Procedures offers a forward-looking guide to the rapidly changing landscape of oral and maxillofacial diagnostics. The book connects established pathology principles with digital technologies, artificial intelligence, computational analysis, and emerging diagnostic workflows.
Readers are introduced to the foundations of digital pathology, AI and machine learning, and essential data-science concepts for pathologists before progressing into practical applications. Key topics include digital microscopy, whole-slide imaging, digital slide management, telepathology, laboratory information systems, AI-assisted histopathology and cytopathology, oral radiology, oral cancer screening, potentially malignant disorders, and microbial and molecular diagnostics.
The book also explores computational pathology, predictive analytics, multi-omics and bioinformatics, augmented and virtual reality, robotics, and laboratory automation. It highlights how digital workflows can support quantitative assessment, remote consultation, education, research collaboration, and more consistent diagnostic evaluation.
Importantly, the approach remains human-centred. AI is presented as a decision-support and augmentation tool rather than a replacement for expert pathologists, with attention given to validation, explainability, data quality, privacy, bias, governance, and regulatory considerations.
A valuable resource for oral pathologists, dental surgeons, postgraduate students, researchers, educators, and healthcare technologists, this book provides an accessible foundation for understanding and engaging with the future of AI-enabled and digitally connected oral pathology.
