Applications of Artificial Intelligence in Optical Coherence Tomography Angiography Imaging

Area of Science:

• Ophthalmology
• Medical Imaging
• Artificial Intelligence

Background:

• Optical coherence tomography angiography (OCTA) provides noninvasive, 3D visualization of retinal vasculature.
• OCTA offers micrometer resolution and avoids dye injections, enhancing patient safety.
• Artificial intelligence (AI) excels at processing large datasets and has shown significant advancements in various fields.

Purpose of the Study:

• To introduce Optical coherence tomography angiography (OCTA) and artificial intelligence (AI).
• To explore the applications of AI in OCTA imaging.
• To assess the potential of AI in improving ophthalmology clinical care.

Main Methods:

• Review of recent literature on AI applications in OCTA.
• Discussion of AI roles in signal generation and enhancement for OCTA.
• Exploration of AI for OCTA interpretation tasks such as segmentation and classification.

Main Results:

• AI algorithms achieve state-of-the-art performance in OCTA image processing.
• AI enhances OCTA through improved signal generation and quality.
• AI facilitates advanced interpretation tasks like segmentation and classification in OCTA.

Conclusions:

• AI significantly complements OCTA imaging capabilities.
• AI-driven OCTA has the potential to revolutionize ophthalmology diagnostics.
• Integration of AI into clinical routines can improve patient care standards.