Ear-Keeper: A cross-platform artificial intelligence system for rapid and accurate ear disease diagnosis - Takeaways - MDSpire

Ear-Keeper: A cross-platform artificial intelligence system for rapid and accurate ear disease diagnosis

  • By

  • Feiyan Lu

  • Yubiao Yue

  • Zhenzhang Li

  • Meiping Zhang

  • Wen Luo

  • Fan Zhang

  • Tong Liu

  • Jingyong Shi

  • Guang Wang

  • Xinyu Zeng

  • January 6, 2026

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  • 1

    Over 500 million people worldwide are affected by ear infections annually, leading to potential hearing loss and severe complications.

  • 2

    Otitis media is the most common ear disease, causing approximately 20,000 deaths each year, particularly among children under five.

  • 3

    Diagnostic errors in ear examinations occur frequently due to variations in expertise, especially in nonspecialty clinics.

  • 4

    The Best-EarNet model combines ShuffleNetV2_X0_5 with a novel feature fusion module, achieving a balance between diagnosis performance and speed.

  • 5

    The Ear-Keeper application system offers multiple versions for self-diagnosis and professional use, enhancing accessibility to ear healthcare.

Original Source(s)

Ear-Keeper: A cross-platform artificial intelligence system for rapid and accurate ear disease diagnosis

  • by Feiyan Lu, Yubiao Yue, Zhenzhang Li, Meiping Zhang, Wen Luo, Fan Zhang, Tong Liu, Jingyong Shi, Guang Wang, Xinyu Zeng

  • January 6, 2026

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