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AI makes ovarian cancer prognosis and treatment recommendation

More accurate than current methods - we'll hear this a lot with AI in healthcare

18-Feb-2019

Key points from article :

Machine learning software can forecast survival rates of ovarian cancer patients.,

Predicts the prognosis of patients more accurately than current methods.

It can also predict what treatment would be most effective for patients.

Aims to stratify patients into groups based on subtle differences in the texture on CT scans.

Created by researchers at Imperial College London and the University of Melbourne.

The study was published in Nature Communications.

Mentioned in this article:

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Eric Aboagye

Professor of Cancer Pharmacology & Molecular Imaging at Imperial College London.

Imperial College London (ICL)

Public research university with an international reputation for excellence in teaching and research

Nature Communications

Journal covering all topics in physics, chemistry, and biology

University of Melbourne

Leading public university in Australia

Topics mentioned on this page:
AI in Healthcare, Cancer