Strannik Virtual Scanning (SVS), which uses light and colours to diagnose a wide range of diseases, has been tested on 20 patients, and successfully identified the disease in 17 cases.
Previous studies have estimated that SVS can successfully diagnose between two and 23 per cent more accurately than standard tests it was pitched against.
In the new study, carried out by Graham Ewing of Mimex Montague Healthcare, the supplier of SVS, and Dr J Duran from Hospital San Roque in Gran Canaria, 20 patients were randomly selected for an SVS screening. SVS correctly identified the disease in 17 of the cases, which included cystitis, haemorrhoids, diabetes, heart disease and cancer.
The test, which is non-invasive, requires the patient to look at a colour image for 15 seconds, and then accurately recreate it after filters have been put over it.
SVS has been used for years in clinics across Russia.
(Source: Neurology & Neurotechnology, 2016; 2(1): 001)
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