Artificial Intelligence in Head and Neck Cancer: Innovations, Applications, and Future Directions

Autor: Tuan D. Pham, Muy-Teck Teh, Domniki Chatzopoulou, Simon Holmes, Paul Coulthard
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Current Oncology, Vol 31, Iss 9, Pp 5255-5290 (2024)
Druh dokumentu: article
ISSN: 31090389
1718-7729
1198-0052
DOI: 10.3390/curroncol31090389
Popis: 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.
Databáze: Directory of Open Access Journals
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