Solving the Data Challenge in Ophthalmic AI - Scorecard - MDSpire

Solving the Data Challenge in Ophthalmic AI

At ARVO, Cecilia S. Lee, MD, MS, and Aaron Y. Lee, MD, MSCI, discuss barriers to AI deployment in ophthalmology, including interoperability and model development.

  • By

  • Cecilia S. Lee, MD, MS

  • Aaron Y. Lee, MD, MSCI

  • May 1, 2026

  • 4 min

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Clinical Scorecard: Solving the Data Challenge in Ophthalmic AI

At a Glance

CategoryDetail
ConditionOphthalmic AI Deployment
Key MechanismsStandardization of imaging devices, data sharing, privacy protection, community engagement.
Target PopulationOphthalmology practitioners and researchers.
Care SettingClinical and research environments in ophthalmology.

Key Highlights

  • Barriers include lack of standardization in imaging devices.
  • DICOM and FHIR standards are being implemented for better data interoperability.
  • Data sharing while protecting participant privacy is a significant challenge.
  • AI-READI project provides high-quality datasets for training AI models.
  • Efforts are underway to safely deploy AI models in clinical settings.

Guideline-Based Recommendations

Diagnosis

  • Utilize standardized imaging devices for consistent data collection.

Management

  • Engage community partners in the development and sharing of datasets.

Monitoring & Follow-up

  • Implement privacy protection mechanisms for participant data.

Risks

  • Potential for reidentification of participants if data is not properly managed.

Patient & Prescribing Data

Participants in ophthalmic studies and clinical trials.

Focus on developing AI models that enhance patient care delivery.

Clinical Best Practices

  • Adopt DICOM and FHIR standards for data interoperability.
  • Ensure community engagement in AI model development.
  • Utilize both publicly accessible and controlled access datasets for research.

Related Resources & Content

Original Source(s)

Solving the Data Challenge in Ophthalmic AI

  • by Cecilia S. Lee, MD, MS, Aaron Y. Lee, MD, MSCI

  • May 1, 2026

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