01-20-2022, 07:53 PM
(This post was last modified: 01-20-2022, 07:54 PM by awakened53.)
Latest insanity: X RAYS could replace PCR tests for ‘Covid’ after scientists claim breakthrough is able to give result within minutes and is 98% accurate
Scientists have developed a groundbreaking Covid diagnosis test using X-rays that are able to give a result within minutes and are 98 per cent accurate.
Experts at the University of the West of Scotland (UWS) pioneered the Artificial Intelligence programme to help healthcare staff during times ‘when PCR tests are not readily available’.
The programme is able to detect the virus faster than a PCR test – which typically takes around two hours to return a result.
X-ray technology is used to compare the scans to a database of close to 3,000 images belonging to patients suffering with Covid, healthy individuals and patients with viral pneumonia.
An AI process then uses an algorithm to analyse visual imagery and make a diagnosis. The technique was found to be 98 per cent accurate.
It is hoped that this technology could be used to aid medical staff in Accident and Emergency departments across the UK.
Professor Naeem Ramzan, Director of the Affective and Human Computing for SMART Environments Research Centre at UWS, led the three-person team behind the project, which also involved Gabriel Okolo and Dr Stamos Katsigiannis.
Read more: Latest insanity: X RAYS could replace PCR tests for ‘Covid’ after scientists claim breakthrough is able to give result within minutes and is 98% accurate
Scientists have developed a groundbreaking Covid diagnosis test using X-rays that are able to give a result within minutes and are 98 per cent accurate.
Experts at the University of the West of Scotland (UWS) pioneered the Artificial Intelligence programme to help healthcare staff during times ‘when PCR tests are not readily available’.
The programme is able to detect the virus faster than a PCR test – which typically takes around two hours to return a result.
X-ray technology is used to compare the scans to a database of close to 3,000 images belonging to patients suffering with Covid, healthy individuals and patients with viral pneumonia.
An AI process then uses an algorithm to analyse visual imagery and make a diagnosis. The technique was found to be 98 per cent accurate.
It is hoped that this technology could be used to aid medical staff in Accident and Emergency departments across the UK.
Professor Naeem Ramzan, Director of the Affective and Human Computing for SMART Environments Research Centre at UWS, led the three-person team behind the project, which also involved Gabriel Okolo and Dr Stamos Katsigiannis.
Read more: Latest insanity: X RAYS could replace PCR tests for ‘Covid’ after scientists claim breakthrough is able to give result within minutes and is 98% accurate