Integrating Genetic Insights and Artificial Intelligence for Enhanced Oral and Maxillofacial Cancer Care

Abstract

The integration of artificial intelligence (AI) with genetic insights presents promising avenues for revolutionizing the landscape of oral and maxillofacial cancer (OMC) care. This proposed chapter, titled, aims to explore the synergistic potential of AI and genetic understanding in advancing OMC diagnosis, treatment, and prognosis. The chapter will delve into the genetic changes, including mutations and polymorphisms, contributing to the pathogenesis of oral squamous cell carcinomas (OSCCs) and other malignancies in the oral and maxillofacial region. Additionally, it will elucidate how AI-driven applications, such as computer vision and machine learning, offer novel opportunities for early detection and accurate diagnosis of OMC, thereby improving patient outcomes. By analyzing genetic data and medical records, AI algorithms can identify subtle patterns indicative of OMC development, enabling clinicians to intervene at earlier stages. Moreover, AI facilitates personalized treatment planning by integrating genetic markers with clinical data to tailor therapies based on individual patient profiles, maximizing efficacy and minimizing adverse effects. Furthermore, the chapter will discuss the role of AI in predicting treatment responses and long-term prognoses, aiding clinicians in making informed decisions and improving patient outcomes. Overall, this chapter aims to highlight the transformative potential of integrating genetic insights with AI technologies in OMC care. By leveraging AI-driven approaches for early detection, accurate diagnosis, and personalized treatment, we can significantly enhance patient outcomes and contribute to the broader understanding of AI's role in biomedical research and clinical practice.

Keywords: Artificial intelligence; Early detection; Genetic engineering; Oral and maxillofacial cancer; Personalized treatment.