Version 1
: Received: 8 August 2024 / Approved: 8 August 2024 / Online: 9 August 2024 (03:58:48 CEST)
How to cite:
Pham, T. D.; Teh, M.-T.; Chatzopoulou, D.; Holmes, S.; Coulthard, P. Artificial Intelligence in Head and Neck Cancer: Innovations, Applications, and Future Directions. Preprints2024, 2024080630. https://doi.org/10.20944/preprints202408.0630.v1
Pham, T. D.; Teh, M.-T.; Chatzopoulou, D.; Holmes, S.; Coulthard, P. Artificial Intelligence in Head and Neck Cancer: Innovations, Applications, and Future Directions. Preprints 2024, 2024080630. https://doi.org/10.20944/preprints202408.0630.v1
Pham, T. D.; Teh, M.-T.; Chatzopoulou, D.; Holmes, S.; Coulthard, P. Artificial Intelligence in Head and Neck Cancer: Innovations, Applications, and Future Directions. Preprints2024, 2024080630. https://doi.org/10.20944/preprints202408.0630.v1
APA Style
Pham, T. D., Teh, M. T., Chatzopoulou, D., Holmes, S., & Coulthard, P. (2024). Artificial Intelligence in Head and Neck Cancer: Innovations, Applications, and Future Directions. Preprints. https://doi.org/10.20944/preprints202408.0630.v1
Chicago/Turabian Style
Pham, T. D., Simon Holmes and Paul Coulthard. 2024 "Artificial Intelligence in Head and Neck Cancer: Innovations, Applications, and Future Directions" Preprints. https://doi.org/10.20944/preprints202408.0630.v1
Abstract
Artificial Intelligence (AI) is revolutionizing head and neck cancer (HNC) care by providing innovative tools that enhance diagnostic accuracy and personalize treatment strategies. This review highlights the advancements in AI technologies, including deep learning and natural language processing, and their applications in HNC. The integration of AI with imaging techniques, genomics, and electronic health records is explored, emphasizing its role in early detection, biomarker discovery, and treatment planning. Despite noticeable progress, challenges such as data quality, algorithmic bias, and the need for interdisciplinary collaboration remain. Emerging innovations like explainable AI, AI-powered robotics, and real-time monitoring systems are poised to further advance the field. Addressing these challenges and fostering collaboration among AI experts, clinicians, and researchers is crucial for developing equitable and effective AI applications. The future of AI in HNC holds significant promise, offering potential breakthroughs in diagnostics, personalized therapies, and improved patient outcomes.
Keywords
artificial intelligence; head and neck cancer; oral cancer; imaging techniques; deep learning; natural language processing; early detection; personalized treatment; biomarker discovery; explainable machine intelligence
Subject
Medicine and Pharmacology, Oncology and Oncogenics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
