用自动化测量方法评估尿瘤疾病患者教育材料的可读性

Severin Rodler1, Serena Maruccia2, Andre Abreu3

  • 1USC Institute of Urology and Catherine and Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Artificial Intelligence Center at USC Urology, USC Institute of Urology, University of Southern California, Los Angeles, CA, USA; Department of Urology, University Hospital of LMU Munich, Munich, Germany.

PubMed
概括

主要泌尿病学协会的患者教育材料对于非专业人士来说太难理解了. 提高可读性对于有效的患者理解和在尿瘤学中传播健康信息至关重要.

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