论文精选
肺癌免疫治疗决策支持工具的临床可用性及多模态模型评估
Clinical usability of an explainable AI decision support tool and evaluation of multimodal models in NSCLC
精选理由
这是Nature Medicine发表的研究，用真实世界数据证明多模态AI模型能比现有方法更好地预测肺癌免疫治疗结果。
在非小细胞肺癌的大型真实世界研究中，一种多模态可解释AI模型在预测免疫疗法效果方面优于现有生物标志物，并提升了医生决策能力。
原文 · Nature Medicine
Clinical usability of an explainable AI decision support tool and evaluation of multimodal models in NSCLC
Nature Medicine, Published online: 13 September 2026; doi:10.1038/s41591-026-04488-2 In a large international real-world study of non-small cell lung cancer, a multimodal explainable AI model outperformed established biomarkers for immunotherapy outcome prediction and improved physician decision-making.
