The Intersection of Deep Learning and Oral Cancer Research: A Keyword Cooccurrence Network Analysis

Integrating artificial intelligence (AI) into medical research has fundamentally transformed the identification and management of diseases, particularly in oral cancer research, where deep learning has demonstrated considerable potential. The complexity of the causes and the delayed diagnosis of oral cancer present significant problems. This report investigates the use of keyword cooccurrence network analysis to visually represent the research field of deep learning applications in oral cancer. The network reveals the advancements in Convolutional neural networks (CNNs), a type of deep learning that enhances diagnosis accuracy and enables early intervention. Analyzing the cooccurrences
significant phrases can improve the possibilities for future research and the outcomes for patients.