Graybeard
Well-Known Member
This is not "job replacement" it is job enhancement. But AI is coming to medicine and pharma in a very big way ...
Quote`` A new study from the University of Warwick found that artificial intelligence can analyze X-rays and diagnose medical issues better than doctors. The BBC reports: Software was trained using chest X-rays from more than 1.5m patients, and scanned for 37 possible conditions. It was just as accurate or more accurate than doctors' analysis at the time the image was taken for 35 out of 37 conditions, the University of Warwick said. The AI could reduce doctors' workload and delays in diagnosis, and offer radiologists the "ultimate second opinion," researchers added. The software understood that some abnormalities for which it scanned were more serious than others, and could flag the most urgent to medics, the university said.
To check the results were accurate, more than 1,400 X-rays analysed by the software were cross-examined by senior radiologists. They then compared the diagnoses made by the AI with those made by radiologists at the time. The software, called X-Raydar, removed human error and bias, said lead author, Dr Giovanni Montana, Professor of Data Science at Warwick University. "If a patient is referred for an X-ray with a heart problem, doctors will inevitably focus on the heart over the lungs," he said. "This is totally understandable but runs the risk of undetected problems in other areas".
Quote`` A new study from the University of Warwick found that artificial intelligence can analyze X-rays and diagnose medical issues better than doctors. The BBC reports: Software was trained using chest X-rays from more than 1.5m patients, and scanned for 37 possible conditions. It was just as accurate or more accurate than doctors' analysis at the time the image was taken for 35 out of 37 conditions, the University of Warwick said. The AI could reduce doctors' workload and delays in diagnosis, and offer radiologists the "ultimate second opinion," researchers added. The software understood that some abnormalities for which it scanned were more serious than others, and could flag the most urgent to medics, the university said.
To check the results were accurate, more than 1,400 X-rays analysed by the software were cross-examined by senior radiologists. They then compared the diagnoses made by the AI with those made by radiologists at the time. The software, called X-Raydar, removed human error and bias, said lead author, Dr Giovanni Montana, Professor of Data Science at Warwick University. "If a patient is referred for an X-ray with a heart problem, doctors will inevitably focus on the heart over the lungs," he said. "This is totally understandable but runs the risk of undetected problems in other areas".
