Editorial: Imaging in the diagnosis and treatment of eye diseases
-
By
-
Weihua Yang
-
Yalin Zheng
-
Shujun Wang
-
June 18, 2026
-
Clinical Scorecard: The Role of Imaging Techniques in Diagnosing and Managing Ocular Disorders
At a Glance
| Category | Detail |
|---|
| Condition | |
| Key Mechanisms | Integration of advanced imaging techniques and artificial intelligence for diagnosis and management, enhancing accuracy and efficiency. |
| Target Population | |
| Care Setting | |
Key Highlights
- Ophthalmic imaging is essential for screening, diagnosis, and follow-up of eye diseases.
- Multimodal imaging fusion strategies enhance diagnostic accuracy.
- Ophthalmic imaging serves as a biomarker for systemic diseases.
- Integration into perioperative management improves surgical safety and outcomes.
- Challenges remain in standardization and clinical integration of imaging technologies.
- Integration of imaging in perioperative management is crucial for surgical planning.
Guideline-Based Recommendations
Diagnosis
- Utilize multimodal imaging techniques such as OCT and OCTA for complex differential diagnoses.
Management
- Incorporate imaging into preoperative planning and intraoperative decision-making, using specific modalities.
Monitoring & Follow-up
- Use refined quantitative biomarkers for ongoing assessment of ocular conditions, including specific examples.
Risks
- Address challenges in the interpretability of imaging data and standardization across devices.
Patient & Prescribing Data
Imaging aids in predicting treatment responses and surgical outcomes, such as using OCTA for assessing vascular changes.
Clinical Best Practices
- Employ advanced imaging techniques for comprehensive ocular assessments.
- Integrate AI-driven analysis for improved diagnostic capabilities, utilizing tools like deep learning algorithms.
- Utilize imaging for monitoring systemic diseases through ocular biomarkers.
Related Resources & Content
