30 de gener 2020

AI in clinical decision making

International evaluation of an AI system for breast cancer screening

Artificial intelligence is capable of surpassing human experts in breast cancer prediction. You can check it in Nature:
 To assess its performance in the clinical setting, we curated a large representative dataset from the UK and a large enriched dataset from the USA. We show an absolute reduction of 5.7% and 1.2% (USA and UK) in false positives and 9.4% and 2.7% in false negatives. We provide evidence of the ability of the system to generalize from the UK to the USA. In an independent study of six radiologists, the AI system outperformed all of the human readers: the area under the receiver operating characteristic curve (AUC-ROC) for the AI system was greater than the AUC-ROC for the average radiologist by an absolute margin of 11.5%. 
If AI outperforms radiologists, than there is no argument to delay its implementation.
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