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March 3, 2026ESMO Open5 citationsOpen Access

Artificial intelligence-powered real-time multimodal model for predicting recurrence and survival in head and neck cancer: a multicenter, multinational study

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HJH.A. JungRMR. MerkinAFA.L. Feng

Key Points

  • Survival predictions significantly enhance after implementing the real-time model, with accuracy rates exceeding 85%.
  • Data collected from multiple centers in different countries ensure robust validation of the artificial intelligence approach.
  • Evaluation included various patient data points in a multimodal format, providing a comprehensive overview of cancer dynamics.
  • The findings support the potential for AI models to personalize treatment strategies, though clinical validation is essential.
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Cite This Study

Jung et al. (2026) studied this question.

synapsesocial.com/papers/69a75a5ec6e9836116a20190https://doi.org/10.1016/j.esmoop.2025.106046
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