Artificial intelligence-assisted platform performs high detection ability of hepatocellular carcinoma in CT images: an external clinical validation study.

Journal: BMC cancer
PMID: 39871149

Abstract

BACKGROUND: Accurate detection of hepatocellular carcinoma (HCC) in multiphasic contrast CT is essential for effective treatment and surgical planning. However, the variety of CT images, the misdiagnosis and missed diagnosis, and the inconsistent diagnosis among different radiologists pose challenges to accurate detection which demands sufficient clinical experience and can be time-consuming and labor-intensive.

Authors

  • Rongxue Shan
    Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250021, China.
  • Chenhao Pei
    Institute of Advanced Research, Infervision, Beijing, China.
  • Qianrui Fan
    Institute of Research, Ocean International Center, InferVision, Chaoyang District, Beijing, 100025, China.
  • Junchuan Liu
    Department of Interventional Medicine, Qingdao Hiser Hospital Affiliated of Qingdao University (Qingdao Traditional Chinese Medicine Hospital), Qingdao, Shandong, China.
  • Dawei Wang
    Institute of Advanced Research, Infervision Medical Technology Co., Ltd, Beijing, China.
  • Shifeng Yang
    Department of Radiology, Shandong Provincial Hospital affiliated to Shandong University, Shandong University, Jinan, Shandong, P.R. China.
  • Ximing Wang

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