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Related Experiment Video

Updated: Jun 12, 2026

Assessing Early Stage Open-Angle Glaucoma in Patients by Isolated-Check Visual Evoked Potential
07:11

Assessing Early Stage Open-Angle Glaucoma in Patients by Isolated-Check Visual Evoked Potential

Published on: May 25, 2020

ProptoView: AI-based digital exophthalmometry using multi-view facial images in a multinational validation study.

Chaoyu Lei1,2, Sifan Song3,4, Jingyuan Fan5

  • 1State Key Laboratory of Eye Health, Department of Ophthalmology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China.

Journal of Translational Medicine
|June 11, 2026
PubMed

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Summary
This summary is machine-generated.

ProptoView, an AI tool, accurately measures proptosis using images, offering a cost-effective alternative to CT scans. This digital exophthalmometer enhances clinical workflows and supports telemedicine for thyroid eye disease management.

Area of Science:

  • Ophthalmology
  • Medical Imaging
  • Artificial Intelligence

Background:

  • Accurate proptosis measurement is crucial for managing thyroid eye disease (TED) and other orbital conditions.
  • Current methods like the Hertel exophthalmometer lack precision, while CT scans are costly and involve radiation exposure.

Purpose of the Study:

  • To develop and validate ProptoView, an AI-based digital exophthalmometer for accurate, non-contact proptosis measurement.
  • To compare the accuracy of ProptoView against traditional methods like the Hertel exophthalmometer and CT scans.

Main Methods:

  • Developed ProptoView using a deep learning approach with 5676 images from 763 TED patients.
  • Trained and validated three AI models: single-view, multi-view, and dynamic input.
  • Externally validated ProptoView using 644 images from 324 patients across multiple countries and hospitals.
Keywords:
Artificial intelligenceExophthalmometryMeasurementOrbital diseaseProptosis

Related Experiment Videos

Last Updated: Jun 12, 2026

Assessing Early Stage Open-Angle Glaucoma in Patients by Isolated-Check Visual Evoked Potential
07:11

Assessing Early Stage Open-Angle Glaucoma in Patients by Isolated-Check Visual Evoked Potential

Published on: May 25, 2020

Main Results:

  • The dynamic input AI model achieved the highest accuracy with an intraclass correlation coefficient (ICC) of 0.901, surpassing the Hertel exophthalmometer.
  • The multi-view model (ICC=0.890) also outperformed the Hertel exophthalmometer (ICC=0.871).
  • ProptoView demonstrated robust external validation (ICC=0.845) and reduced misclassification rates compared to the Hertel exophthalmometer.

Conclusions:

  • ProptoView offers an accurate, non-contact, and cost-effective solution for proptosis measurement.
  • The AI tool has the potential to streamline clinical workflows and facilitate telemedicine applications in ophthalmology.
  • ProptoView represents a significant advancement in the objective assessment of orbital conditions.