Ophthalmology was the first specialty to see autonomous AI receive FDA clearance — IDx-DR for diabetic retinopathy screening in 2018. Since then, retinal AI, OCT analysis, glaucoma progression modeling, and AMD detection have built one of the strongest evidence bases in healthcare AI. Building production ophthalmology AI means working with multi-modal imaging (fundus, OCT, OCTA, ultrasound), tight FDA SaMD requirements, and screening workflows that often run outside the eye clinic.
Taction Software’s ophthalmology AI engineers have built retinal screening pipelines, OCT analysis tools, and glaucoma progression models integrated with imaging vendors and EHR systems. Engagements begin with a $45K Discovery Sprint.
Our experts are ready to understand your business goals.
For productized sprint pages, see Discovery Sprint, MVP Sprint, and Pilot-Ready Sprint.
Fundus-image-based DR screening for primary care and screening programs.
OCT-driven detection and grading.
Longitudinal visual-field-plus-OCT modeling for progression detection.
AI-supported AMD detection and staging from fundus and OCT.
For background, see medical imaging AI and our work on DICOM AI clinical imaging pipelines.
Hire healthcare AI engineers, FDA SaMD engineers, or healthcare MLOps engineers at $8K per engineer per month.
For estimates, use the healthcare AI cost calculator.
Discovery Sprint $45K, MVP Sprint $95K, Pilot-Ready Sprint $145K. Full pathway $285K over 24 weeks.
Almost always yes for diagnostic and screening features. Ophthalmology has the first autonomous AI FDA clearance.
Zeiss, Heidelberg, Topcon, Optos, Optovue, and others through proprietary SDKs and DICOM ophthalmology SOP classes.
Yes. Primary-care-based DR screening with handoff to ophthalmology is a shipped pattern.
Yes. Longitudinal visual field plus OCT modeling is part of standard work.
Yes. FHIR R4 integration including imaging-related resources.
Yes. Every engagement begins with a BAA.
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