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Artificial intelligence pinpoints nine different abnormalities in head scans

The new algorithms could help emergency clinics identify serious head trauma cases faster
By
  1. Emily Mullin

A brain scan (left) showing an intraparenchymal hemorrhage in left frontal region and a scan (right) of a subarachnoid hemorrhage in the left parietal region. Both conditions were accurately detected by the Qure.ai tool.

The rise in the use of computed tomography (CT) scans in US emergency rooms has been a well-documented trend1 in recent years2. At the same time, the diagnosis of life-threatening conditions using these head scans has risen only slightly in emergency rooms. One problem ER doctors face is trying to separate out serious cases of head trauma from less serious injuries.

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doi: https://doi.org/10.1038/d41591-018-00003-4

References

  1. Kocher, K. E. et al. Ann. Emerg. Med 58, 452–462 (2011).

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  2. Korley, F. K., Pham, J. C. & Kirsch, T. D. JAMA 304, 1465–1471 (2010).

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  3. Chilamkurthy, S. et al. Lancet 392, 2388–2396 (2018).

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  4. Titano, J. J. et al. Nat. Med. 24, 1337–1341 (2018).

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