Smartphone-Based Proactive Self-Screening for Ocular Surface Malignancies: A Nonrandomized Clinical Trial - Scorecard - 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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Clinical Scorecard: Mobile Device-Enabled Proactive Self-Assessment for Ocular Surface Cancers: A Nonrandomized Clinical Investigation

At a Glance

CategoryDetail
ConditionOcular Surface Cancers
Key MechanismsAI-driven diagnostic system for smartphone deployment, integrating public education and self-screening.
Target PopulationIndividuals at risk for ocular surface tumors, particularly in regions with low disease awareness.
Care SettingMobile health platforms for screening and referral.

Key Highlights

  • 42% of patients with rare diseases are initially misdiagnosed.
  • Ocular surface tumors often misinterpreted as benign lesions.
  • Mobile health platforms can enhance early detection and access to care.
  • CaptureTumor (CaT) combines AI, public education, and referral pathways.
  • Study involved a nationwide implementation trial across China.

Guideline-Based Recommendations

Diagnosis

  • Utilize AI-enhanced smartphone applications for early detection of ocular surface tumors.

Management

  • Implement structured referral pathways to specialized ocular oncology centers.

Monitoring & Follow-up

  • Conduct regular screenings using mobile health tools to identify at-risk individuals.

Risks

  • Delays in diagnosis can lead to advanced disease, facial disfigurement, and vision loss.

Patient & Prescribing Data

Individuals with potential ocular surface lesions, particularly in underserved areas.

Mobile applications can facilitate proactive self-assessment and timely referrals.

Clinical Best Practices

  • Integrate mobile health solutions with public education to raise awareness.
  • Ensure accessibility of AI-driven screening tools for broader populations.
  • Establish feedback loops between screening and specialist care.

Related Resources & Content

Original Source(s)

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

  • 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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