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January 27, 2026ESMO OpenOpen Access

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

H.A. Jung R. Merkin A.L. Feng D. Lee K. Lee S Park J.-M. Sun S.-H. Lee J.S. Ahn M.-J. Ahn L.J. Wirth J.C. Park

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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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Implication

Multinational analysis demonstrates recurrence and survival predictions in head and neck cancer using AI, suggesting improved patient outcomes.

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Cite This Study

Jung et al. (2026) studied this question.

synapsesocial.com/papers/69a75a5ec6e9836116a20190 https://doi.org/10.1016/j.esmoop.2025.106046

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