Oral Cancer and Artificial Intelligence

Oral Cancer and Artificial Intelligence, 1st Edition, offers a clear technical overview of computational methods designed to support clinical diagnosis, therapy planning, and oncological research. Edited by Sujata Dash, Subhendu Kumar Pani, Somenath Chakraborty, Timothy Aladelusi, and Ruwan Duminda Jayasinghe, the text details how quantitative models evaluate specialized clinical data.

The thematic coverage spans primary diagnostic approaches, including automated image analysis, pattern recognition, and natural language processing specifically adapted for histopathology records. Beyond diagnosis, the content examines therapeutic workflows by analyzing computational techniques used in surgical planning, precision radiotherapy execution, and chemotherapy treatment protocols.

A defining structural feature of the work is its division into ten distinct sections that examine artificial intelligence applications in oral cancer diagnosis, therapy, and clinical research. This systematic arrangement offers targeted reference support for clinicians, healthcare professionals, scientists, researchers, and advanced students operating at the intersection of medical oncology and computational intelligence.