Transformative Potential of Artificial Intelligence in Enhancing Oral and Maxillofacial Cancer Care for a Brighter Tomorrow
Md. Asaduzzaman, M. A. Rahman, Nitish Krishna Das, Mausumi Iqbal, A. K. M. Shafiul Kadir, Md. Golam Rabbany, Mohammad Ullah Shemanto, Rukaiya Akhter, Joye Kundu
- Year
- 2025
- Citations
- 1
Abstract
The integration of Artificial Intelligence (AI) has significantly advanced oral and maxillofacial cancer (OMC) care. This paper explores the transformative potential of AI in OMC diagnosis, staging, treatment, and prognosis. AI-driven applications, including computervision and machine learning, are discussed, emphasizing their impact on early detection,accurate diagnosis, and personalized treatment planning. The paper also explores the role of AI in OMC education, research, and practice, outlining future directions. In OMC staging, AI automates the process by analyzing medical records and imaging data, enhancing accuracy. The paper also discusses AI's role in tailoring treatment plans, optimizing radiation therapy, and facilitating robotic surgery. Furthermore, the integration of ChatGPT in OMC education, research, and practice is explored. The paper outlines future directions, including the integration of multi-omics data and real-time patient monitoring, emphasizing collaboration, clinical trials, and validation as essential steps in realizing AI's potential in routine clinical practice. In conclusion, AI has the potential to transform OMC management by enhancing diagnosis accuracy, staging precision, personalized treatment planning, and prognosis estimation. Addressing ethical concerns and fostering interdisciplinary collaboration are crucial in harnessing AI's capabilities. By embracing AI advancements, OMC care can be significantly improved, leading to better patient outcomes and contributing to the fight against oral and maxillofacial cancer.
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