SeeAgain provides an AI-driven platform that combines detailed ocular biometry, tomography, and a brief patient lifestyle survey to generate personalized intraocular lens recommendations for cataract surgery. The clinically validated algorithm ranks premium and standard lens options with supporting rationale, integrating seamlessly into pre‑operative workflows for ophthalmic surgeons.
Funding
Funding not disclosed
Founders
Product
Problem
Patients undergoing cataract surgery often receive intraocular lenses (IOLs selected by generic criteria, leading to suboptimal visual outcomes that may not align with individual visual goals, lifestyle needs, or specific eye anatomy.
Solution
SeeAgain offers an AI-driven platform that integrates detailed ocular biometry, tomography data, and a brief patient lifestyle survey to generate personalized IOL recommendations. The algorithm is built on peer‑reviewed research and validated across multiple North American clinical sites, ensuring evidence‑based suggestions. By matching patients with premium or standard lenses that best meet their visual expectations, the service aims to improve postoperative vision quality and patient satisfaction. The workflow fits into existing clinical processes: clinics capture eye measurements, patients complete the survey, and the AI returns ranked lens options for the surgeon’s consideration.
Target Audience
Primary users are ophthalmic surgeons and eye clinics performing cataract surgery who seek data‑driven lens selection to enhance patient outcomes.
Features
- AI algorithm that combines high‑resolution biometry and tomography with patient‑reported visual goals and lifestyle preferences
- Clinically validated model based on multi‑site studies and peer‑reviewed research
- Recommendations include both premium and standard intraocular lens options tailored to individual anatomy
- Seamless integration into the clinic’s pre‑operative workflow with a short 2‑minute patient questionnaire
- Generates a ranked list of lens choices with supporting rationale for surgeon decision‑making