Two-Phase Deep Learning Approach for Diagnosing Pediatric Obstructive Sleep Apnea Using Lateral Cephalometric Images - Top-Institutions - MDSpire

Two-Phase Deep Learning Approach for Diagnosing Pediatric Obstructive Sleep Apnea Using Lateral Cephalometric Images

  • By

  • Jiayi Zhang

  • Jiao Tan

  • Xuesha Tong

  • Huiya Wang

  • Yue Zhao

  • Jinlin Song

  • Yang Liu

  • April 21, 2026

  • 0 min

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Top Institutions in Dental

Brief introduction explaining scope and methodology.

  • #1

    Children's Hospital of Philadelphia
    Children's Hospital of Philadelphia

    Philadelphia, PA

    Key Differentiators

    • Pediatric Sleep Medicine
    • Pediatric Pulmonology
    • Craniofacial Imaging
    • Artificial Intelligence in Medicine

  • #2

    Boston Children's Hospital
    Boston Children's Hospital

    Boston, MA

    Key Differentiators

    • Pediatric Sleep Medicine
    • Otolaryngology
    • Orthodontics
    • Medical Imaging

  • #3

    Cleveland Clinic
    Cleveland Clinic

    Cleveland, OH

    Key Differentiators

    • Sleep Medicine
    • Pediatric Otolaryngology
    • Radiology
    • AI in Healthcare

  • #4

    University of Michigan Health System
    University of Michigan Health System

    Ann Arbor, MI

    Key Differentiators

    • Pediatric Sleep Medicine
    • Orthodontics
    • Radiology
    • Biomedical Engineering

  • #5

    Stanford University School of Medicine
    Stanford University School of Medicine

    Stanford, CA

    Key Differentiators

    • Pediatric Sleep Medicine
    • Radiology
    • Artificial Intelligence
    • Otolaryngology

Original Source(s)

Two-Phase Deep Learning Approach for Diagnosing Pediatric Obstructive Sleep Apnea Using Lateral Cephalometric Images

  • by Jiayi Zhang, Jiao Tan, Xuesha Tong, Huiya Wang, Yue Zhao, Jinlin Song, Yang Liu

  • April 21, 2026

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