Artificial intelligence could cut chest X-ray process time, study claims

Artificial intelligence could cut chest X-ray process time, study claims

Researchers have created an artificial intelligence (AI) system they claim can spot abnormalities in chest X-rays and speed up the processing of screenings.

The software uses computer vision to recognise radiological abnormalities in X-rays and then suggest how quickly these should be reported by a radiologist.

The research from the University of Warwick claims the system could help cut the average delay in receiving an expert opinion from 11 days to less than three.

The study, carried out by Warwick Manufacturing Group (WMG), an academic department of the university, also involved an algorithm that was capable of reading radiological reports, understand the findings and the priority level of the exam.

The research, which was carried out through work with Guy’s and St Thomas’ NHS Foundation Trust in London, has been published in the journal Radiology.

It used half a million anonymised chest X-rays to develop the AI system, which the developers said was able to learn the visual patterns in X-rays and link it to an urgency level.

The results of this research shows that alternative models of care, such as computer vision algorithms, could be used to greatly reduce delays in the process of identifying and acting on abnormal X-rays

Professor Giovanni Montana, leader of the research team and chairman in data science at the WMG at the University of Warwick, said: “Artificial intelligence-led reporting of imaging could be a valuable tool to improve department workflow and workforce efficiency.

“The increasing clinical demands on radiology departments worldwide has challenged current service delivery models, particularly in publicly-funded healthcare systems.

“It is no longer feasible for many radiology departments with their current staffing level to report all acquired plain radiographs in a timely manner, leading to large backlogs of unreported studies.

“In the United Kingdom, it is estimated that at any time there are over 300,000 radiographs waiting over 30 days for reporting.

“The results of this research shows that alternative models of care, such as computer vision algorithms, could be used to greatly reduce delays in the process of identifying and acting on abnormal X-rays – particularly for chest radiographs which account for 40% of all diagnostic imaging performed worldwide.

“The application of these technologies also extends to many other imaging modalities including MRI and CT.”

- Press Association

More in this Section

Bluetooth security flaw uncoveredBluetooth security flaw uncovered

Facebook cafes to encourage users to check privacy settingsFacebook cafes to encourage users to check privacy settings

Xbox boss says company has ‘no plans’ for streaming-only consoleXbox boss says company has ‘no plans’ for streaming-only console

Fantastic mouse for general purpose useFantastic mouse for general purpose use


Lifestyle

These are the pros who create Beyoncé’s glow and Lucy Boynton’s graphic eyes.Looking for beauty inspiration? Follow these celebrity make-up artists on Instagram

The former Great British Bake Off contestant shares her culinary recollections with Ella Walker.From eating mango with her grandmother to the smell of ghee, these are Chetna Makan’s food memories

Don’t let the late summer rain wash away all your homegrown herbs. We offer top tips on how to keep them going, long after summer has faded.Harvesting herbs: How to make 5 easily homegrown herbs last beyond summer

The beauty world has gone loco for coconuts, says Katie Wright.9 nourishing coconut beauty products that will work wonders on your hair and body

More From The Irish Examiner