Editorial: The Role of Imaging Techniques in Diagnosing and Managing Ocular Disorders

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

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.

Utilize multimodal imaging techniques such as OCT and OCTA for complex differential diagnoses.

Incorporate imaging into preoperative planning and intraoperative decision-making, using specific modalities.

Use refined quantitative biomarkers for ongoing assessment of ocular conditions, including specific examples.

Address challenges in the interpretability of imaging data and standardization across devices.

Imaging aids in predicting treatment responses and surgical outcomes, such as using OCTA for assessing vascular changes.

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.