Smartphone-Based Proactive Self-Screening for Ocular Surface Malignancies: A Nonrandomized Clinical Trial - Takeaways - MDSpire

Mobile Device-Enabled Proactive Self-Assessment for Ocular Surface Cancers: A Nonrandomized Clinical Investigation

  • By

  • Ruixin Wang

  • Shaowei Bi

  • Duoru Lin

  • Mingyuan Li

  • Lanqin Zhao

  • Yukun Zhou

  • Ling Jin

  • Wenben Chen

  • Ruiyang Li

  • Yuanjun Shang

  • Huasheng Yang

  • Rongxin Chen

  • Wei Xiao

  • Siming Ai

  • Jianbing Li

  • Shiqi Ling

  • Xiaohang Wu

  • Zhixiong Li

  • Guiqin Liu

  • Yinyue Lu

  • Wen Lin

  • Huiying Rao

  • Xiangda Meng

  • Hua Yan

  • Cong Nie

  • Min Zhu

  • Huijing Ye

  • Haotian Lin

  • July 1, 2026

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  • 1

    Ocular malignant surface tumors are often misdiagnosed due to public misconceptions, leading to delays in specialist evaluation and advanced disease stages.

  • 2

    Diagnostic delays for ocular tumors can result in severe consequences, including facial disfigurement and increased risk of life-threatening metastasis.

  • 3

    Traditional healthcare models struggle to implement large-scale screening for rare diseases due to limited specialist capacity and financial resources.

  • 4

    The CaptureTumor (CaT) system integrates AI-driven self-screening with public education and referral pathways to enhance access to specialist care.

  • 5

    The study involved a three-stage process to develop and validate a smartphone-based screening system for ocular surface tumors across China.

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