Artificial intelligence is changing many areas of medicine, and a new study suggests that a simple eye scan may soon help doctors detect several common diseases within seconds.
Researchers have developed an AI system called Reti-Pioneer that can examine photographs of the retina, the light-sensitive layer at the back of the eye, and identify signs linked to conditions such as type 2 diabetes, high blood pressure, high cholesterol, gout, osteoporosis, and thyroid disease. The research was published in Nature Medicine.
The retina contains tiny blood vessels and nerve tissue that can reveal changes happening throughout the body. Doctors have long known that diseases such as diabetes and high blood pressure can affect these blood vessels. However, many of the earliest changes are too small for the human eye to detect. Reti-Pioneer uses advanced AI to find these hidden patterns.
To build the system, scientists trained several AI models using thousands of retinal images from people with and without different diseases. By comparing huge numbers of eye scans, the AI learned to recognize subtle changes linked to illness that would otherwise go unnoticed.
One of the leaders of the research was Associate Professor Lisa Zhuoting Zhu from the Centre for Eye Research Australia. She said the technology could make disease screening much faster and more accessible, especially in places where laboratory testing is difficult to obtain.
Unlike blood tests, which require needles, laboratory equipment, and time for analysis, a retinal photograph is quick, painless, and inexpensive.
A simple fundus camera captures the image in seconds, and the AI provides results almost immediately. This means patients could be identified as needing further medical assessment during the same visit instead of waiting days for laboratory reports.
The study, which was mainly carried out in primary healthcare clinics in China, showed that the system could accurately screen patients and help doctors decide who should receive further testing. Although blood tests and other examinations would still be needed to confirm a diagnosis, the AI could help doctors act much sooner.
Researchers believe the technology could be especially valuable in rural and remote communities. Because only a basic retinal camera is needed, the system could be installed in general practice clinics, optometry clinics, pharmacies, mobile health services, and community health centres. This could improve access to early screening for people who live far from hospitals.
The researchers hope similar AI systems will eventually become routine tools in healthcare. Earlier detection means treatment can begin sooner, reducing complications and improving long-term health.
This study is exciting because it shows how one simple eye image may provide clues about several different diseases at once. However, the system is designed for screening rather than replacing doctors or laboratory tests.
More studies in different countries and populations will be needed before widespread adoption, but the technology has strong potential to improve early diagnosis and healthcare access.
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Source: Centre for Eye Research Australia.
