“Integration of AI and Machine Learning in OCT Imaging”
- A growing trend in the optical coherence tomography (OCT) market is the integration of artificial intelligence (AI) and machine learning (ML) to enhance diagnostic accuracy, automate image analysis, and reduce interpretation time
- AI-powered OCT systems assist clinicians by automatically identifying disease biomarkers, segmenting retinal layers, and detecting early signs of ocular conditions with minimal human intervention.
- This trend is supported by the growing number of collaborations between medical imaging firms and AI developers to create smart, data-driven imaging solutions for clinical and research settings
- For instance, in 2023, ZEISS Medical Technology launched the ZEISS PLEX Elite 2.0 platform with AI-driven OCT angiography capabilities, significantly reducing diagnosis time for retinal diseases
- The integration of AI in OCT imaging is reshaping the ophthalmic diagnostics field, improving clinical workflows, and offering predictive insights for preventive healthcare strategies
