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News

Featured | 14.04.21

White paper: The benefits of comprehensive AI solutions for medical imaging

The need for artificial intelligence is clear. Globally, the volume of scans requiring interpretation is growing at a much greater pace than increases in the numbers of radiologists […]
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Featured | 02.07.21

Annalise CXR validation MRMC study is published in The Lancet Digital Health

The Annalise CXR validation study published in Lancet Digital Health outlines the process of model development, training data curation and labelling and the test set curation, as well […]
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3 results
11.06.21
Mitigating shortcut learning and measuring the true performance of AI in medical imaging
As artificial intelligence for medical imaging increases in adoption, the need for careful evaluation of the true performance of these algorithms has become more urgent. […]
Annalise CXR, Artificial intelligence
03.05.21
How to evaluate a diagnostic radiology AI paper?
As artificial intelligence enters practical and daily use, radiologists will increasingly engage with radiology AI algorithms as end-users or stakeholders in deciding whether to implement algorithms in clinical practice. As radiologists, […]
Artificial intelligence, Clinical research, Data
26.04.21
Published Clinical Poster: Designing Effective Artificial Intelligence Software
Annalise CXR, Artificial intelligence, Clinical research
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