Artificial intelligence AI used in diagnosing breast cancer

  • January 21, 2020
  • High accuracy

    A new study published in the journal ‘Nature’ has found that an artificial intelligence system was highly accurate in diagnosing cases of breast cancer.

    In over 28,000 mammograms analysed during extensive testing, it outperformed six radiologists in its diagnostic success rate. Of the mammograms that are analysed from the UK, it had a reduction rate of 1.2% in false-positive diagnoses (where cancer is deemed present when absent) and a reduction rate of 2.7% in false-negative diagnoses (where cancer is deemed absent when present).

    Solution for a radiologists shortage

    These findings have significant implications for the process of diagnosing breast cancer. An increase in accuracy and the speeding up of the diagnostic process would significantly ease the workload of radiologists. This is particularly important, given the current shortage of more than 1,000 radiologists across the UK. The introduction of such a system would enable radiologists to focus on other areas.

    The AI system would have to undergo clinical trials to assess its viability in actual medical practice. Only then could it be assessed whether it could be implemented nationwide. If it were to be introduced, it would still be under the supervision of a radiologist who would have the final say in verifying diagnostics.

    Inez Brown, a partner with Medical Accident Group, said: “This new development is the ability of artificial intelligence technology to help radiologists diagnose incidents of breast cancer is extremely promising. It is nonetheless important to ensure that such a system is implemented, has the appropriate clinical trials and human oversight to ensure that it provides an excellent standard of service.”

    If you or a family member have suffered from a misdiagnosis or delayed diagnosis of breast cancer, Medical Accident Group is here to help. We have a team of dedicated clinical negligence solicitors who will guide you through the process of making a claim. Contact the team now on 0800 050 1668 or email us at [email protected].

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