Comparison of Two AI Chatbots for Diagnosis and Providing Treatment Suggestions in Retinopathy of Prematurity: Retrospective Study - Takeaways - MDSpire
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A Retrospective Comparison of Two AI Chatbots’ Diagnostic Accuracy and Treatment Recommendations for Retinopathy of Prematurity

  • By

  • Shaojuan Peng

  • Xinyu Zhao

  • Zhenquan Wu

  • Duo Yuan

  • Na Duan

  • Kaixuan Cui

  • Zhen Yu

  • Weihua Yang

  • Wenbin Wei

  • Wei Chi

  • Guoming Zhang

  • October 7, 2026

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  • 1

    Retinopathy of prematurity is a major cause of preventable childhood blindness, and its burden has increased alongside survival among low-birth-weight infants.

  • 2

    A worldwide shortage of experienced pediatric ophthalmologists has intensified as ROP screening and treatment needs expand, particularly in resource-limited regions.

  • 3

    ROP diagnosis and treatment recommendations depend on accurate assessment of retinal vascular and lesion characteristics under ICROP3.

  • 4

    Wide-field fundus imaging provides objective evidence of avascular retinal area and morphology that informs interventions such as laser therapy and anti-VEGF injection.

  • 5

    The study retrospectively compares two AI chatbots’ diagnostic accuracy and treatment recommendations for ROP.

Original Source(s)

Comparison of Two AI Chatbots for Diagnosis and Providing Treatment Suggestions in Retinopathy of Prematurity: Retrospective Study

  • by Shaojuan Peng, Xinyu Zhao, Zhenquan Wu, Duo Yuan, Na Duan, Kaixuan Cui, Zhen Yu, Weihua Yang, Wenbin Wei, Wei Chi, Guoming Zhang

  • October 7, 2026

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