Nature Outlook |

Digital health

There are now few areas of our lives that artificial intelligence (AI) does not touch. Not only is medicine no exception, but the potential for digital transformation of health care is especially striking.

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Articles

From clinical trials to diagnosis and surgery, artificial intelligence has the potential to transform medicine.

Outlook | | Nature

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Artificial intelligence outperforms traditional statistical models at predicting a range of clinical outcomes from a patient’s entire raw electronic health record (EHR). A team led by Alvin Rajkomar and Eyal Oren from Google in Mountain View, California, USA, developed a data processing pipeline for transforming EHR files into a standardized format. They then applied deep learning models to data from 216,221 adult patients hospitalized for at least 24 h each at two academic medical centers, and showed that their algorithm could accurately predict risk of mortality, hospital readmission, prolonged hospital stay and discharge diagnosis. In all cases, the method proved more accurate than previously published models. The authors provide a case study to serve as a proof-of-concept of how such an algorithm could be used in routine clinical practice in the future.

Article | Open Access | | npj Digital Medicine

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Perspective | | Nature Reviews Clinical Oncology

This Perspective examines key ethical challenges of ingestible electronic sensors, which are related to patients, physicians, and society more generally, and provides a comparative analysis of legal regulation of the sensors in the US and Europe.

Perspective | | Nature Electronics