Improving oral cancer diagnosis and management with artificial intelligence: A promising future for patient care

• AI algorithms demonstrate high accuracy (89.47%–100 %) in identifying oral cancer from histopathological images. • AI models can distinguish between normal and cancerous tissues, facilitating early detection and intervention. • AI plays a crucial role in predicting patient outcomes and classifying disease stages. • AI contributes to developing personalized treatment plans, improving survival rates and quality of life. • Convolutional Neural Networks (CNNs) and support vector machines (SVMs) are successfully employed in analysis. • Deep learning models like deep neural networks (DNNs) identify subtle histopathological features indicative of cancer. • Integration of AI in oral cancer management revolutionizes healthcare practices and offers new hope.