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How AI could boost the effectiveness of cancer screening

21/05/2019

A US study suggests that Artificial Intelligence (AI) is better than specialist doctors at identifying lung cancer. It’s a finding that could revolutionize cancer screening in the future, potentially allowing tumors to be found at an earlier stage and improving treatment outcomes. According to the study - which was conducted by researchers from Northwestern University in Illinois and the Google Health Research Group – Artificial Intelligence was able to outperform six specialist cancer doctors when it came to identifying cancer from a single CT scan. When multiple CT scans were used, the AI and the doctors were equally effective. Prior to the tests, the AI was trained with 42,290 CT lung scans from nearly 15,000 patients. It was not told what to look for in a CT scan, merely which patients went on to develop cancer and which didn’t. The results of the study, published in Nature Medicine, show that AI can not only boost cancer detection by 5%, but can also reduce false-positives by 11%. Speaking about the findings of the research, Dr Mozziyar Etemadi, from Northwestern University, said: “Not only can we better diagnose someone with cancer, we can also say if someone doesn't have cancer, potentially saving them from an invasive, costly, and risky lung biopsy.”

Artificial Intelligence system could lead to more accurate heart & lung diagnoses

04/01/2018

Researchers at an Oxford hospital have developed an Artificial Intelligence (AI) system that can accurately diagnose heart and lung scans. The new AI could lead to more people being diagnosed earlier and prevent patients being sent home when they are still at risk of having a heart attack. It’s though the system will save the NHS billions of pounds by enabling various diseases to be detected much earlier. The heart disease technology will be available to NHS hospitals for free this summer. Currently, cardiologists use a person’s heartbeat to tell if there is a problem. However, even the most experienced doctors get it wrong in one in five cases. This leads to a patient being sent home when they are still at risk of a heart attack or undergoing an unnecessary operation. The AI system can pick up details on the scans that doctors cannot see, resulting in a more accurate diagnosis. So far, the system has been tested in clinical trials and the results aren’t expected to appear in a peer-reviewed journal until later this year. However, one of the system’s developers has said the data shows it greatly outperformed his fellow specialists. The government's healthcare tsar, Sir John Bell, has indicated that AI could "save the NHS". "There is about £2.2bn spent on pathology services in the NHS. You may be able to reduce that by 50%. AI may be the thing that saves the NHS," he said.

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