New innovation roused by working in space will give a constant diagnosis of bowel cancer and freedom from air pollution under a multimillion-pound activity involving UK space agency.
A group of scientists at University College London would like to radically diminish the time it takes to detect and diagnose the disease – one of the deadliest type of cancer which is constantly growing in the UK – by deploying space innovation to help quickly analyze colonoscopy videos.
UCL researcher Peter Mountney said, “Real-time support means doctors can make immediate decisions regarding treatment and patients can receive the results of their scan straight away instead of waiting for weeks”.
“We are moving into a new era of healthcare where AI will support doctors to identify and diagnose cancer faster and more effectively. The Earth Scan project is an exciting opportunity to use satellite technology to bring AI support to doctors in real time. Real-time support means doctors can make immediate decisions regarding treatment and patients can receive the results of their scan straight away instead of waiting weeks”, added Mountney.
The Early Diagnosis Real-Time Healthcare System for venture – named Earth Scan – expects to take advantage of information crunching and transmitting technologies established for controlling satellites in space.
Science Minister Chris Skidmore said, “It’s incredible that artificial intelligence technology that was first developed decades ago and is being used to examine distant planets will now help detect some of the hardest to treat cancers at their earliest stages.
“With bowel cancer, the second most common cause of cancer-related deaths, this kind of innovation will be crucial in helping the NHS prevent more than 20,000 cancer-related deaths a year by 2033 – a key aim of our modern Industrial Strategy. He also added that the health service aims to slash cancer deaths by borrowing technological advances from other sectors.
Innovation produced for this reason will be utilized by Earth Scan to interface up a cloud-based AI system that can support doctors while identifying cancer in patients. By analyzing colonoscopy pictures, the system identifies and detects polyps which may be missed by human eyes.