Qinjing Pan on Muck Rack

Qinjing Pan

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Articles

Deep learning-assisted versus manual reading in routine cervical cytopathology: a multicentre randomised crossover trial

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By Peng Xue, Hongping Tang, Haimiao Xu, Linghua Kong, xun zhang, Youlin Qiao, Fanghui Zhao, Lan Zhu, Haiyan Weng, Qinjing Pan
| Nature Verified
Abstract Deep learning (DL) systems could improve diagnostic accuracy and efficiency in detecting cervical atypia, but their effectiveness remains insufficiently explored. This multicentre, randomised crossover trial evaluated the clinical utility of a DL system in cervical cytopathology. A total of 1,920 women aged 18 years or older undergoing liquid-based cytology for cervical cancer screening were included, and their slides were digitized and randomly assigned (1:1) to two reading sequences.
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