CLINICAL SYSTEMS • EYE CARE • EVIDENCE

Building systems for better eye care

My work combines ophthalmology, real-world evidence, and AI to improve how care is detected, triaged, and delivered in practice.

Yousif Subhi, MD PhD FEBO

Professor of Ophthalmology

Founder and Director of E3 Lab

University of Southern Denmark

[background image] image of a workplace setting (for an ai healthcare company)

Knowledge does not scale. Systems do.

In healthcare, we are not limited by what we know. We are limited by how we turn knowledge into systems that work in practice.

We generate more clinical knowledge than ever before. But most of it never reaches patients in a structured, scalable way.

The challenge is not discovery. It is how knowledge is implemented into real-world practice.

And AI and large language models may fundamentally change this. Not by replacing clinicians, but by enabling knowledge to be translated, scaled, and applied in practice.

What I build

Evidence pipelines

Turning clinical data into validated, decision-ready knowledge.

Patient-facing platforms

Building clearer interfaces between specialist knowledge and public understanding.

AI-enabled workflows

Integrating models into practice rather than treating them as isolated tools.

Clinical pathways

Rethinking models of healthcare, including teleophthalmology and referral systems.

Projects

image of ai software in healthcare action at a patient care station
E³ Lab

Eye, Evidence & Execution Lab

Using data, evidence, and AI to build tools that support better eye care.

[interface] telemedicine consultation interface
Øjenviden

Denmark's largest eye information platform

Accessible, evidence-based resources for eye health, designed for patients and families.