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Artificial Intelligence in Head and Neck Cancer: Innovations, Applications, and Future Directions.
Pham, Tuan D; Teh, Muy-Teck; Chatzopoulou, Domniki; Holmes, Simon; Coulthard, Paul.
Afiliação
  • Pham TD; Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Turner Street, London E1 2AD, UK.
  • Teh MT; Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Turner Street, London E1 2AD, UK.
  • Chatzopoulou D; Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Turner Street, London E1 2AD, UK.
  • Holmes S; Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Turner Street, London E1 2AD, UK.
  • Coulthard P; Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Turner Street, London E1 2AD, UK.
Curr Oncol ; 31(9): 5255-5290, 2024 Sep 06.
Article em En | MEDLINE | ID: mdl-39330017
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Neoplasias de Cabeça e Pescoço Limite: Humans Idioma: En Revista: Curr Oncol Ano de publicação: 2024 Tipo de documento: Article País de publicação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Neoplasias de Cabeça e Pescoço Limite: Humans Idioma: En Revista: Curr Oncol Ano de publicação: 2024 Tipo de documento: Article País de publicação: Suíça