Jong Chul Park, Medical Oncologist at Massachusetts General Hospital shared a post on LinkedIn:
“Excited to share our latest study on AI-powered, real-time risk prediction in locally advanced head and neck cancer.
In this work, we took a different approach from conventional prognostic models:
- A new attempt to use AI with real-world data: We built a machine-learning model using multiple routinely collected clinical variables from large, international cohorts to better estimate recurrence and survival in HNSCC.
- Not a static score, but a dynamic, real-time risk model: Instead of relying only on baseline factors, our model continuously updates risk estimates over time by integrating longitudinal data.
- Next steps: incorporating richer data layers (radiomics, genomics, pathology) and moving toward prospective validation, with the goal of building a clinically actionable, precision surveillance platform.
Grateful to an outstanding international team and collaborators.”
Title: Artificial intelligence-powered real-time multimodal model for predicting recurrence and survival in head and neck cancer: a multicenter, multinational study
Authors: 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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