A doctor in a white lab coat stands in a vast blue high-tech room, looking up at a massive circular projection of the human retina with detailed blood vessels and optic nerve, created with generative AI.
ZEISS RETINA WORKFLOW

Envision the exceptional with the new ZEISS Retina Workflow

Driven by vision and imagination, you relentlessly push the boundaries of retinal care.

With a comprehensive and integrated portfolio, the ZEISS Retina Workflow empowers you in your endeavor to overcome today’s challenges and inspires the future of retinal care – from early detection, monitoring, and management to surgical intervention. Explore the expanded possibilities now available through the combined expertise and portfolio of ZEISS and DORC and experience a new era of connected retinal care.

What drives retina specialists to envision the exceptional in retinal care?

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Empowered by digital connectivity, ZEISS Retina Workflow adds value beyond the devices, supporting clinicians to seamlessly integrate data and obtain deep insights for informed decision-making across the entire patient journey.

Exceptional diagnostics with ZEISS Retina Workflow

The ZEISS Retina Workflow offers a suite of advanced diagnostic solutions designed to help you capture and interpret diagnostic data with precision. Our ultra-widefield imaging fundus systems and high-performance HD OCT aid you in diagnosing and monitoring even subtle pathologies that can lead to earlier treatment and optimal patient outcomes.

See how retina specialists are using the latest ZEISS advancements in diagnostics to enhance patient care and outcomes.

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Curious to discover the full capabilities of the ZEISS Retina Workflow?

Take your workflow to a new level and learn how our Retina Workflow products and digital solutions add value beyond the mere sum of their parts.

Interested to learn more? Contact us for more information.

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    ZEISS CIRRUS PathFinder is currently not available in the US.

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    Talcott E, Valentim C, Perkins S, Ren H, Manivannan N, Zhang Q, Bagherinia H, Lee G, Yu S, D’Souza N, Jarugula H, Patel K, Singh R. Automated Detection of Abnormal Optical Coherence Tomography B-scans Using a Deep Learning Artificial Intelligence Neural Network Platform. Int Ophthalmol Clin. 2024 Jan;64(1):115-127.