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Artificial intelligence predicts when heart will fail

16-Jan-2017

Key points from article :

Software learned to analyse blood tests and scans of beating hearts

Studied 256 patients with pulmonary hypertension.

Measured the movement of 30,000 different points in the organ’s structure.

Combined data with eight years of patient health records.

Correctly predicted patient one year survival about 80% of the time – better than 60% for doctors.

The study was published in the Radiology journal.

Mentioned in this article:

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Declan O'Regan

Consultant Radiologist at Imperial College Healthcare NHS Trust.

Medical Research Council UK (MRC)

Organization funding medical research in the UK.

Radiology

Medical journal devoted to clinical radiology and allied sciences.

Topics mentioned on this page:
AI in Healthcare