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Contact Lens Spectrum

Article

The Scleral Lens Vault: Dive Into the Future Without Forgetting the Past

Obtaining the best-fitted contact lens can be difficult on the first attempt due to the corneal irregularities of a keratoconus patient.

By: SUZANNE WALTER SHERMAN, OD
Contact Lens Spectrum June 1, 2025 Vol 40, Issue June 2025 Page(s): 22

Clinical Scorecard: The Scleral Lens Vault: Dive Into the Future Without Forgetting the Past

At a Glance

CategoryDetail
ConditionKeratoconus
Key MechanismsCorneal irregularities affecting contact lens fitting; AI and deep learning for detection and fitting.
Target PopulationPatients with keratoconus requiring rigid gas permeable (GP) lenses.
Care SettingOptometry clinics specializing in contact lens fittings.

Key Highlights

  • AI techniques, particularly CNNs, show promise in predicting optimal lens parameters for keratoconus patients.
  • Deep learning methods outperform traditional fitting guides in accuracy for GP lens fitting.
  • The integration of AI in scleral lens fittings is anticipated to reduce fitting time and follow-ups.

Guideline-Based Recommendations

Diagnosis

  • Utilize AI and deep learning for the detection and classification of keratoconus.

Management

  • Incorporate advanced fitting technologies and AI frameworks for optimal lens fitting.

Monitoring & Follow-up

  • Regular assessments of fitting outcomes and adjustments based on AI predictions.

Risks

  • Limitations in current studies include small sample sizes and lack of comprehensive lens parameter comparisons.

Patient & Prescribing Data

Keratoconus patients requiring specialized contact lens fittings.

AI-driven predictions can enhance fitting accuracy and reduce trial-and-error periods.

Clinical Best Practices

  • Employ fitting guides and software alongside AI tools for improved outcomes.
  • Utilize multiple topographic maps to inform lens fitting decisions.

References