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Immunotherapy stories

Sep 13, 2026

Multimodal AI model outperforms established biomarkers for immunotherapy in lung cancer

A large international real-world study found that a multimodal explainable AI decision support tool outperformed established biomarkers for predicting immunotherapy outcomes in non-small cell lung cancer and improved physician decision-making.

Sep 13, 2026·2 sources

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Top claims

▪The agreement on disease control rate predictions between expert and nonexpert physicians improved from slight (kappa of 0.11) to moderate (kappa of 0.48) when using the I3LUNG artificial intelligence tool
▪The I3LUNG study integrated four distinct patient data modalities: clinical and blood data, computed tomography scans, digital pathology slides, and genomic analyses
▪The I3LUNG machine learning and deep learning clinical and blood-only models achieved area under the curve values up to 0.77 in the independent test set

Topics

Cancer treatment Multimodal models AI in healthcare Clinical decision support AI interpretability

Related entities

Non-small cell lung cancer