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今天我们关注一项发表在《Computers in Biology and Medicine》(影响因子7.0)上的重要研究，标题为"Artificial Intelligence and radiomics models for the diagnosis and prognosis of peritoneal metastases on imaging: a systematic review and meta-analysis"。这项系统性回顾和荟萃分析评估了AI和放射组学模型在腹膜转移(PM)影像学诊断和预后中的性能。研究显示，13项研究的荟萃分析得出PM检测的综合AUC为0.84，敏感性0.75，特异性0.80。2D和3D影像数据表现相当，而将临床因素纳入模型可显著提高性能。这项发现为AI辅助癌症诊断开辟了新途径，有望改善腹膜转移患者的早期检测和个性化治疗决策。
