New information has been obtained about the possibilities of artificial intelligence in medicine. In a recent British study, artificial intelligence made observations on patients’ X-rays with very convincing results.
Artificial intelligence showed its ability in analyzing X-ray images. All Over Press
The capabilities of the X-Raydar artificial intelligence software trained on 2.8 million X-rays of 1.5 million patients were explored in a UK study.
It was a joint project of the University of Warwick, King’s College London (KCL) and the British Public Health System (NHS).
The researchers checked the accuracy of the AI’s analyzes by reviewing 1,400 images with experienced doctors who participated in the study. The findings impressed the researchers.
A total of 37 different ailments or diseases were visible in the chest X-ray images shown to the artificial intelligence and analyzed by human doctors earlier.
In identifying only two of them, the real doctor proved to be more capable than the X-Raydar. For 35 problems, the artificial intelligence was at least as good or even better than the real doctor who once analyzed the images.
Artificial intelligence is said to have been able to detect even the most alarming deviations.
Does the risk of human error decrease?
The professor of computer science at the University of Warwick who led the research Giovanni Montana reported that the X-Raydar software reduced the likelihood of human error and misinterpretation due to preconceived notions.
– If a patient with heart problems comes in for an X-ray, the doctors inevitably focus more on the heart than the lungs. This is completely understandable, but can lead to other problems not necessarily being noticed, Montana stated.
According to the researchers, the findings show that artificial intelligence can reduce the workload of doctors and speed up diagnosis, as it can analyze the images immediately after they are taken and report any abnormalities.
Professor at KCL Vicky Goh called the software “the future of medicine” and “the right hand of busy doctors”.
Sources: University of Warwick, BBC