这篇文章详细介绍了一种名为 TORCH 的深度学习模型，该模型旨在使用细胞学图像来 预测原发灶不明癌症 (CUP) 的肿瘤来源，特别是在胸腔积液和腹水病例中。研究人员使用来自四个医院的 57,220 例数据集开发并测试了TORCH，结果显示其在 癌症诊断和肿瘤定位 方面表现出 高准确性 和强大的泛化能力。值得注意的是，TORCH 的预测效果 优于病理学家，并且在辅助初级病理学家诊断时能 显著提高他们的准确率。此外，该研究还发现，根据 TORCH 预测结果进行治疗的 CUP 患者的 总体生存期更长，这突显了该模型在 临床实践中作为辅助工具的潜力，但需要进一步的随机试验来验证。References: Tian F, Liu D, Wei N, et al. Prediction of tumor origin in cancers of unknown primary origin with cytology-based deep learning[J]. Nature Medicine, 2024, 30(5): 1309-1319.
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