The research team at Severance Hospital has developed artificial intelligence (AI) software that can predict the risk of chronic kidney disease (CKD) using retinal examination results.
CKD is typically diagnosed when a person experiences persistent decreased kidney function or proteinuria for more than six months, with common causes including diabetes and high blood pressure. By identifying individuals at high risk for CKD early on, medical professionals can implement measures to manage the condition and potentially prevent its progression.
Recognising the challenges associated with predicting CKD when kidney function appears normal, the team at Severance Hospital developed an AI programme to assess the risk of CKD based on retinal examination results and evaluated its effectiveness.
By leveraging AI technology, the software offers an opportunity to identify high-risk groups for CKD and implement preventive measures to mitigate the onset of the disease.
CKD is often referred to as a silent disease because patients usually do not exhibit symptoms until the condition has advanced significantly. Given that there is no known cure for CKD, medical professionals emphasise the importance of prevention.
The development of this AI programme marks a significant advancement in the field of kidney disease research, as it provides a means of proactive screening and intervention.
