儿童重症社区肺炎的队列研究,涉及基于AI的CT图像参数和电子健康记录数据

Mengyuan He1, Jianpeng Yuan2, Aijiao Liu1

  • 1Pediatric Hematology Laboratory, Division of Hematology/Oncology, Department, of Pediatrics, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China.

PubMed
概括

分析胸部CT扫描的人工智能 (AI) 可以帮助预测严重社区获得性肺炎 (CAP) 的儿童的呼吸衰竭. 将AI成像数据与临床信息相结合,可以提高诊断准确度,从而改善患者的治疗结果.

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