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

In this multicenter study, an artificial intelligence (AI)-powered model using multimodal and longitudinal data accurately predicted RFS and OS at multiple time points following curative-intent surgery for HNSCC.

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Publication Details

Journal
ESMO Open
Published
2026-01-27
DOI
https://doi.org/10.1016/j.esmoop.2025.106046
Primary Topic
Head and Neck Cancer Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

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

J.C. Park, K. Lee, M.-J. Ahn, S Park et al.
ESMO Open
Head and Neck Cancer Studies
article

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

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

Abstract

In this multicenter study, an artificial intelligence (AI)-powered model using multimodal and longitudinal data accurately predicted RFS and OS at multiple time points following curative-intent surgery for HNSCC.

ESMO OpenVol. 11(2)
Daejeon University (KR), Massachusetts Eye and Ear Infirmary (US), Samsung Medical Center (KR), Massachusetts General Hospital (US), Sungkyunkwan University (KR)
Openalex Percentile: Top 77%
Head and Neck Cancer Studies
DOIOpen Access PDFOpenAlex
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