Medial EarlySign's AI scans medical records for diabetes warning signs

A machine learning technology developed to spot dangerous medical conditions before they worsen has shown its value in a trial. Based in Kfar Malal, Israel, Medial EarlySign is one of dozens of companies now developing Artificial Intelligence algorithms which can scan large volumes of medical records to pick out warning signs buried in patient data. Medial's latest algorithm looks to identify diabetes patients who are at highest risk of having renal dysfunction within the next 12 months. Medial EarlySign's machine learning-based model analysed dozens of factors contained in Electronic Health Records (EHRs), including laboratory test results, demographics, medication, diagnostic codes and others, to predict who might be at high risk for having renal dysfunction within the period. The company chose to isolate less than 5% of the 400,000 diabetic population selected from its database of 15 million patients, and the algorithm was able to identify 45% of patients who would progress to significant kidney damage within a year, prior to becoming symptomatic.