Analysis of big data by machine learning offers considerable advantages for assimilation
and evaluation of large amounts of complex health-care data. However, to effectively use …

Machine learning methods, combined with large electronic health databases, could enable
a personalised approach to medicine through improved diagnosis and prediction of …

Big data, coupled with the use of advanced analytical approaches, such as artificial
intelligence (AI), have the potential to improve medical outcomes and population health …

Big data and black-box medical algorithms | Science Translational Medicine news careers
commentary Journals Science Science brought to you byGoogle Indexer Log in science …

In concurrence with the introduction of the internet, widely networked computers, and the
collection of large amounts of digital data, the medical profession as a whole has become …

Randomized clinical trials (RCTs) have revolutionized medicine by providing evidence on
the efficacy and safety of drugs, devices, and procedures. Today, more than 40 000 RCTs …

A call for deep-learning healthcare | Nature Medicine Skip to main content Thank you for visiting
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Machine learning (ML) has the potential to transform oncology and, more broadly, medicine.
1 The introduction of ML in health care has been enabled by the digitization of patient data …

Artificial intelligence (AI), particularly its subtype deep learning, has changed our lives. In our
smartphones, laptops, and social media, deep learning provides image and speech …

The use of artificial intelligence, and the deep-learning subtype in particular, has been
enabled by the use of labeled big data, along with markedly enhanced computing power …