To present a comprehensive framework for integrating oculomics to assess ocular and systemic health, into coordinated healthcare delivery models.

Publication date: March 2026 Source: Experimental Eye Research, Volume 264 Author(s): Henry Bair

This CPD article considers the potential of oculomics in the early detection of systemic diseases and how this can serve collaboration between optometrists and physicians for integrative healthcare

The unique vascularized anatomy of the human eye, encased in the retina, provides an opportunity to act as a window for human health. The retinal stru…

The Ophthalmic Detective and the Rheumatology Clue (A Ladybird Journey Across the Eye-Systemic Axis 🐞 ) This is Nima. Nima is a medical ophthalmologist. He likes looking very closely a...

AI-driven oculomics is transforming eye scans into powerful tools for detecting heart, brain, and metabolic health risks across the body.

The UK will benefit from a new initiative to scale the INSIGHT Health Data Research Hub for Eye Health and Oculomics – the world’s largest collection of curated eye imaging and linked clinical data at...

Topcon Healthcare launched IDHea Inc., a company focused on driving clinical research and oculomics to advance eye care, according to a press release. Oculomics is the study of the eye as a window to systemic health. IDHea, or the Institute for Digital Health, aims to utilize modern research infrastructure, including multimodal imaging and AI, to “accelerate drug discovery and enable more inclusive, data-driven care,” and uncover links between ocular health and other systemic diseases, the release said. “The platform's interoperability with [electronic medical records], compliance with privacy

AI and machine learning are becoming household terms. Anyone who invests in the U.S. stock market is familiar with the extraordinary growth and valuation of companies like Nvidia and Intel. Huge amounts of human and financial capital are being invested into the application of AI and machine learning (ML) to nearly everything we do today. Ophthalmology, while a laggard in the application of AI, is catching up. I will share a few thoughts as to where AI may benefit ophthalmologists the most. Interested readers may also want to review the covers stories and my accompanying Lindstrom Perspectives

AI and machine learning are becoming household terms. Anyone who invests in the U.S. stock market is familiar with the extraordinary growth and valuation of companies like Nvidia and Intel. Huge amounts of human and financial capital are being invested into the application of AI and machine learning (ML) to nearly everything we do today. Ophthalmology, while a laggard in the application of AI, is catching up. I will share a few thoughts as to where AI may benefit ophthalmologists the most. Interested readers may also want to review the covers stories and my accompanying Lindstrom Perspectives

AI paired with the technological advances of automated and robotic fundus cameras will be a catalyst for change. These technologies hold the potential to take specialist-level eye screening into primary care, pharmacies and preclinical spaces, reaching out to people in low-resource settings and underserved areas, to rapidly detect and manage a wide range of ocular and systemic conditions. I am a cardiothoracic surgeon, and the possibility to assess cardiovascular disease from the eye fascinates me, along with the potential to detect neurological disease, kidney disease, preeclampsia and, of

AI paired with the technological advances of automated and robotic fundus cameras will be a catalyst for change. These technologies hold the potential to take specialist-level eye screening into primary care, pharmacies and preclinical spaces, reaching out to people in low-resource settings and underserved areas, to rapidly detect and manage a wide range of ocular and systemic conditions. I am a cardiothoracic surgeon, and the possibility to assess cardiovascular disease from the eye fascinates me, along with the potential to detect neurological disease, kidney disease, preeclampsia and, of

With AI moving at a fast pace, oculomics — the study of the eye as a window to systemic health — is expanding its potential and gaining increasing attention. The past few years have seen an abundance of studies and initiatives aimed at creating strategic partnerships for collaborative projects in this area. Oculomics-based AI systems promise to become a transformative tool for risk stratification and early diagnosis of a wide range of systemic conditions, ultimately leading to more equitable access to care. “We have long been familiar with the concept of associating abnormalities in the eye

With AI moving at a fast pace, oculomics — the study of the eye as a window to systemic health — is expanding its potential and gaining increasing attention. The past few years have seen an abundance of studies and initiatives aimed at creating strategic partnerships for collaborative projects in this area. Oculomics-based AI systems promise to become a transformative tool for risk stratification and early diagnosis of a wide range of systemic conditions, ultimately leading to more equitable access to care. “We have long been familiar with the concept of associating abnormalities in the eye

—The unique vascularized anatomy of the human eye, encased in the retina, provides an opportunity to act as a window for human health. The retinal str…

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