Scientists believe AI is good at reading X-rays, here is what happened when they tested it.
about an AI that detected lung diseases by going through X-ray images of patients. Well, now we have now another exciting AI program that can differentiate between a normal and abnormal chest X-ray.as it lets a doctor know if a patient is suffering or likely to suffer from lung cancer, tuberculosis, emphysema, pneumonia, heart failure, and various other chest-related health issues.The researchers claim this new AI tool could speed up the process of diagnosing chest and lung problems.
A report from the Association of American Medical Colleges reveals that hospitals in the US may have“There is an exponentially growing demand for medical imaging, especially cross-sectional such as CT and MRI. Meanwhile, there is a global shortage of trained radiologists,” said Dr.
The only negative finding from the AI was that it identified the chest x-ray of a 44-year-old patient with pneumonia as normal. He further added, “The AI tool had a sensitivity overall better than the clinical board-certified radiologists.” Moreover, the tool also turned out to be great atThe rate at which it spotted normal x-rays in outpatients stood at 11.6 percent. According to human radiologists, there were 429 normal chest x-rays overall. The AI program also successfully classified 120 such x-rays as normal.
Based on these findings, the researchers suggest that their AI tool could have been employed to automatically check nearly eight percent of all the x-rays they examined during the study. This is important because “even a small percentage of automatization can lead to saved time for radiologists, which they can prioritize on more complex matters,” said Dr. Plesner.at spotting abnormal x-rays and has the potential to speed up the chest diagnosis process at hospitals.
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