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English(EN) From Classification to Localization and Clinical Validation: Large-Scale Development of a Deep Learning System for Thoracic Disease Detection on Chest Radiographs in Thailand

AI系统Inspectra CXR v5在泰国胸部疾病检测中达到高准确率 · 跟踪2个来源

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员开发了Inspectra CXR 5版本，这是一个用于检测泰国胸部X光片中胸部疾病的深度学习系统。该系统结合了分类和病灶定位，在Siriraj医院近875,000张图像上进行了训练，并在域内和独立测试集上均达到了高准确率。放射科医生的可用性评估表明，该系统具有高度一致性，并且系统可用性量表得分很高，表明该系统值得信赖且对临床使用有效。 AI

影响 这项研究展示了本地化AI模型在放射科医生短缺地区提高诊断准确性的潜力，可能为全球类似的部署设定先例。

排序理由 该集群报告了一篇详细介绍了用于医学影像分析的深度学习系统的开发和验证的研究论文。

在 arXiv cs.LG 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

AI系统Inspectra CXR v5在泰国胸部疾病检测中达到高准确率 · 跟踪2个来源

报道来源 [2]

  1. arXiv cs.LG TIER_1 English(EN) · Isarun Chamveha, Tretap Promwiset, Napat Wanchaitanawong, Trongtum Tongdee, Pairash Saiviroonporn, Warasinee Chaisangmongkon ·

    From Classification to Localization and Clinical Validation: Large-Scale Development of a Deep Learning System for Thoracic Disease Detection on Chest Radiographs in Thailand

    arXiv:2607.09305v1 Announce Type: cross Abstract: Chest radiography (CXR) remains the most widely used thoracic imaging modality, yet expert interpretation is constrained by a severe shortage of radiologists in Thailand and across Southeast Asia. Local adaptation of deep learning…

  2. arXiv cs.LG TIER_1 English(EN) · Warasinee Chaisangmongkon ·

    从分类到定位与临床验证：泰国胸片胸部疾病检测深度学习系统的大规模开发

    Chest radiography (CXR) remains the most widely used thoracic imaging modality, yet expert interpretation is constrained by a severe shortage of radiologists in Thailand and across Southeast Asia. Local adaptation of deep learning models to Thai data has been shown to substantial…

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