RetinaLyze International

RetinaLyze International Safe, fast and efficient retinal investigations with RetinaLyze AI and Telemedicine.

OCT and fundus photography answer different questions.A fundus image gives a clear view of the retina and optic nerve he...
29/07/2026

OCT and fundus photography answer different questions.

A fundus image gives a clear view of the retina and optic nerve head. It can show visible signs such as haemorrhages, drusen, pigmentation changes, vessel changes, and suspicious optic disc appearance.

OCT adds something different.
It shows the retinal layers and structural changes that may not be obvious from a colour image alone. Fluid, thinning, thickening, subtle macular changes, and glaucomatous structural loss can often be understood better when reviewing the scan beneath the surface.

For optometrists and ophthalmologists, the strength is not in choosing one over the other. It is in knowing what each modality contributes.

Fundus photography helps document what can be seen. OCT helps explain what is happening in the tissue.

When combined with symptoms, visual acuity, IOP, history, and clinical judgement, the two can give a much clearer basis for follow-up or referral.

AI-supported analysis can help structure that review, but the clinical value still depends on asking the right question:

What are we looking at and what might we be missing if we only use one image type?

AI in eye care is often discussed as if the main question is whether it can detect disease.In practice, the more importa...
27/07/2026

AI in eye care is often discussed as if the main question is whether it can detect disease.

In practice, the more important question may be simpler:
Does it help clinicians make better decisions in a busy workflow?

For ophthalmologists, the value is not another stream of vague referrals. It is better triage, clearer documentation, and earlier identification of patients who genuinely need specialist attention.

For optometrists, the value is not replacing clinical judgement. It is having a structured second layer when reviewing fundus images or OCT scans, especially when findings are subtle, borderline, or difficult to explain to patients.

That is where AI-supported screening becomes useful.
Not as a diagnosis. Not as a shortcut.
But as part of a more consistent pathway from image capture to clinical action.

Scaling retinal screening across multiple clinics is not only a software question.It is a workflow question.Can staff ca...
22/07/2026

Scaling retinal screening across multiple clinics is not only a software question.
It is a workflow question.

Can staff capture images consistently?
Are results easy to understand?
Is there a clear process for yellow and red findings?
Can ophthalmology backup be involved when needed?
Can quality be maintained across locations?

For optical chains, these details matter.

AI-supported screening can help standardise the first layer of assessment, but it still needs a strong clinical process around it.

The best screening workflow is not necessarily the most complicated one. If the staff can use it consistently, patients can understand it, and clinicians can trust it - you've come a long way.

A good referral goes beyond a simple request to "please assess." It provides essential context that can significantly en...
20/07/2026

A good referral goes beyond a simple request to "please assess." It provides essential context that can significantly enhance the evaluation process.

Key elements to include in a referral are:
- What was seen?
- Where was it seen?
- Is the patient symptomatic?
- What is the visual acuity?
- Is there relevant history?
- Has the finding changed over time?

For ophthalmologists, having this information from the outset makes referrals more effective. For optometrists, it ensures that concerns are communicated clearly and professionally.

Utilizing retinal imaging, OCT, AI-supported analysis, and telemedicine can create better referral pathways when these tools are integrated. This approach simplifies the process, making the clinical picture easier to understand.

Diabetic retinopathy can be silent for a long time.That is one of the reasons screening matters.For patients, the absenc...
15/07/2026

Diabetic retinopathy can be silent for a long time.
That is one of the reasons screening matters.

For patients, the absence of symptoms can feel reassuring. For clinicians, it is exactly why retinal imaging should be part of a structured follow-up pathway.

AI-supported DR screening can help identify signs such as microaneurysms and haemorrhages in fundus images, giving optometrists and clinical staff a clearer basis for follow-up or referral.

But the value is not only in the detection.

It is in making screening easier to perform consistently, especially in settings where patients are already present: optical stores, primary care, diabetes clinics, and community health settings.

The earlier we make retinal screening accessible, the better chance we have of catching disease before vision is affected.

Ophthalmology services are under pressure in many countries.More diabetes. More ageing patients. More glaucoma risk. Mor...
13/07/2026

Ophthalmology services are under pressure in many countries.

More diabetes. More ageing patients. More glaucoma risk. More referrals. More imaging.

The challenge is not simply detecting disease. It is making sure the right patients reach specialist care at the right time.

That is where structured screening in optometry, primary care, and optical chains can play a meaningful role.

When fundus images and OCT scans are captured earlier in the patient journey, and supported by AI-based triage, ophthalmologists can receive more relevant referrals with better documentation.

The goal is not to move ophthalmology out of ophthalmology.

It is to make the pathway into ophthalmology more focused, informed, and timely.

Glaucoma awareness starts with the public.But glaucoma prevention depends on the whole eye care pathway: awareness, scre...
08/07/2026

Glaucoma awareness starts with the public.

But glaucoma prevention depends on the whole eye care pathway: awareness, screening, monitoring, referral, diagnosis, treatment, and follow-up.

This week is a good reminder to encourage regular eye examinations — especially for patients over 40, those with family history, diabetes, high myopia, or other risk factors.

Early detection protects sight!

This week is Glaucoma Awareness Week! An important reminder that glaucoma is often silent until irreversible vision loss...
06/07/2026

This week is Glaucoma Awareness Week!
An important reminder that glaucoma is often silent until irreversible vision loss has already occurred.

For eye care professionals, one of the biggest challenges is not simply detecting “suspicious” optic nerves.

It is knowing which patients need reassurance, which need closer monitoring, and which need referral now.

That distinction matters.

Glaucoma risk assessment is rarely based on one number alone. IOP, cup-to-disc ratio, optic disc appearance, OCT, visual fields, image quality, patient history, and change over time all matter. Used in isolation, each signal can mislead.

A large optic disc may naturally have a large cup.
A patient with normal IOP may still have glaucoma.
A single visual field may fluctuate.
A “normal” result today may still be part of a worsening trend.

That is why better glaucoma screening is not only about access to technology. It is about turning repeated measurements into a clearer clinical story over time.

At RetinaLyze, we believe AI should support clinical judgement, not replace it.

By helping objectify optic nerve assessment from retinal images, visualize change, and support more structured referrals, AI can help optometrists and ophthalmologists focus attention where delay could cost sight.

For years, regulation has often been framed as the main bottleneck for AI in health care.That concern is still valid. Me...
01/07/2026

For years, regulation has often been framed as the main bottleneck for AI in health care.

That concern is still valid. Medical AI should be safe, documented and properly validated.

But we think another dynamic is becoming just as important.
A useful comparison may be ridesharing.

Uber did not become part of everyday life because regulation first created a perfect framework. It became normal because people started using it, understood the value, and became comfortable with the concept. Regulation followed behavior.

We may be seeing something similar with generative AI.

Clinicians, staff and patients are already using AI tools in their personal lives to write, summarize, explain and organize information. As that familiarity grows, the perceived risk of AI assistance in clinical and operational settings also starts to change.

That does not mean regulation becomes less important. It means adoption will not be driven by approval alone.

In eye care, the real question is often more practical:
Does the tool support the clinical workflow?
Does it help with recognition, triage or documentation?
Does it integrate without slowing people down?
Does it stay in the background when it should?

AI tools that assist clearly and fit naturally into existing workflows will move forward.
Tools that add friction will struggle, even if they are technically compliant.
The harder problem to solve now is not only regulation. It is workflow.

Wow — what an honor to spend the afternoon in the room with Brazilian Health Secretaries, listening to their challenges ...
29/06/2026

Wow — what an honor to spend the afternoon in the room with Brazilian Health Secretaries, listening to their challenges and ambitions.

The scale of everything is truly impressive, and we learned a lot.

We were also proud to share our experiences from RetinaLyze System A/S, together with the other Danish members of the The Trade Council of Denmark in
Latin America , on how we can contribute to the shared vision of improving prevention and healthcare.

RetinaLyze Brazil is ready to get to work, starting now.

Thanks, Teddy!

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