Researchers from the University of Liverpool and Manchester Metropolitan University are working on a groundbreaking project that utilizes artificial intelligence (AI) to detect diabetic peripheral neuropathy (DPN) by scanning the nerves at the front of the eye. This innovative approach aims to predict future damage caused by DPN, which is a significant complication of diabetes and the leading cause of limb amputation in diabetic patients.
Dr. Uazman Alam, from the University of Liverpool’s Institute of Life Course and Medical Sciences, explains that the nerves at the front of the eye reflect nerve damage occurring in other parts of the body. By leveraging this knowledge, the research team plans to redesign the current optical coherence tomography (OCT) device, commonly used by optometrists to scan the back of the eye. With a grant of £1.4 million, they aim to develop a more sensitive machine that will revolutionize DPN detection.
Unlike the current screening method using a 10 gram monofilament, which often misses individuals with the condition, the new AI-powered device will utilize the entire eye image to detect and predict nerve damage. This advancement is expected to improve sensitivity, enabling earlier diagnosis and intervention.
Diabetes is a rapidly growing global health concern. A recent study published in The Lancet Diabetes and Endocrinology journal predicts that the number of diabetes cases worldwide will reach 1.3 billion by 2050. Therefore, the success of this study is of utmost importance.
The research, slated to conclude in 2027, will culminate in a pilot clinical validation trial at Aintree University Hospital in Liverpool involving both healthy volunteers and individuals with diabetes. Dr. Alam emphasizes the potential of AI in healthcare systems but acknowledges the need for further development and ethical considerations. He suggests that medical schools should incorporate AI education to prepare future healthcare professionals for its increasing integration into the industry.
Overall, this pioneering project blending AI and eye scanning technology has the potential to transform diabetes care and make a significant impact on the lives of millions of people worldwide.
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