Collecting 1000 Real-World Patient Data

December 17, 2025
4 min
Collecting 1000 Real-World Patient Data

AI4Eyes Launches First Round of Clinical Trials

AI4Eyes is proud to announce the launch of its first Health Canada (HC) & Institutional Review Board (IRB) approved clinical trials in partnership with two leading eye care centers. These trials are taking place at Eye Am Soins Oculaires and at Clinique Bellevue Ophtalmologie, marking an important milestone in the company’s mission to transform eye care through artificial intelligence.

This step moves AI4Eyes from development into real-world clinical environments, where the technology can be evaluated alongside experienced clinicians and diverse patient populations.

Building the World’s Largest Ocular Surface Dataset

These clinical trials lay the groundwork for the largest ocular surface dataset in the world. By collecting real-world clinical data across a wide range of patients, AI4Eyes is ensuring that its algorithms are trained on information that reflects the true variability and complexity of everyday eye care. This approach is central to building AI tools that are not only accurate, but also clinically relevant and reliable in practice.

Clinical Partner: Eye Am Soins Oculaires

Eye Am Soins Oculaires is a forward-looking eye care clinic based in Québec City, known for its patient-centered philosophy and efficient use of advanced diagnostic technologies. Co-led by Dr. François Piuze, the clinic places a strong emphasis on integrating innovation into routine clinical workflows while maintaining a high standard of care. Dr. François Piuze, optometrist at Eye Am Soins Oculaires, shared his experience using the technology in practice:

The OSDx has been such a fit into my clinic. It’s used in the pre-testing area and blends perfectly into the workflow. Since dry eye is so underdiagnosed, it’s not just for dry eye clinics but for every clinic. You can run it on almost every patient coming into your clinic. High-quality imaging is a huge game changer. When patients can see and understand what’s going on, they buy in better into their own condition.

Watch Dr. Piuze feedback from working with AI4Eyes Platform on daily basis here: Dry Eye Is Underdiagnosed. Here’s Why Every Clinic Needs the OSDx

Clinical Partner: Clinique Bellevue Ophtalmologie

Clinique Bellevue Ophtalmologie is a leading ophthalmology clinic in Laval, recognized for its expertise in complex eye conditions and its multidisciplinary approach to patient care. Under the leadership of Dr. Claudine Courey and Dr. Harasymowycz, the clinic is actively involved in clinical innovation and research, making it an ideal partner for the validation of AI-driven diagnostic tools. Our own Dr. Claudine Courey, Head of Medical Affairs and an optometrist at Clinique Bellevue Ophtalmologie, commented on the collaboration:

Artificial intelligence has tremendous potential in eye care, but it must be developed and validated in real clinical settings. Participating in these trials allows us to contribute to a technology that supports clinicians in their decision-making and helps improve how patients are diagnosed and managed.

Usability and Workflow Integration

In addition to data collection, the trials will evaluate how AI4Eyes integrates into daily clinical workflows. Understanding how the technology fits into pre-testing, examination, and patient education plays a key role in ensuring it delivers value without adding complexity for clinicians or staff.

A Foundational Step for the Future of Eye Care

AI4Eyes is grateful to Eye Am Soins Oculaires and Clinique Bellevue Ophtalmologie for their trust and collaboration. Their involvement will help shape the future of the platform and ensure it meets the real needs of eye care professionals and patients alike. This launch represents more than the start of clinical trials. It marks the foundational stage of AI4Eyes’ algorithms and the beginning of a new chapter in ocular surface diagnostics and treatment support, with the potential to impact eye care worldwide.  

AI in eye care
Ocular surface diagnostics
Dry eye disease AI