Amazon has launched a new service that uses machine learning to extract key data from patient records and can potentially help healthcare providers and researchers save money, make treatment decisions ...

Literature on clinical note mining has highlighted the superiority of machine learning (ML) over hand-crafted rules. Nevertheless, most studies assume the availability of large training sets, which is ...

Need to extract content from a document quickly and automatically? You’re in luck if you’re an Amazon Web Services (AWS) customer. Amazon today announced the general availability of Textract, a ...

As machine learning becomes more pervasive in the data center and the cloud there will be a need to share and aggregate information and knowledge but without exposing or moving the underlying data.

Here are eight studies and product launches from the month of May that demonstrate the many uses of machine learning artificial intelligence in clinical settings: 1. Amazon Web Services’ Textract ...

Companies that rely on optical character recognition (OCR) to digitize the content of printed forms may be interested in Textract, a new machine learning-based OCR service that just became available ...

The use of machine learning and AI techniques has opened new avenues for quantitative fund managers to derive value from traditional and non-traditional data sources everywhere in the world. Investors ...

A research team at Illinois Institute of Technology has extracted personal information, specifically protected characteristics like age and gender, from anonymous cell phone data using machine ...

Consolidation of Cancer Registry and Administrative Claims Data on Cancer Diagnosis and Treatment in the US Military Health System Literature on clinical note mining has highlighted the superiority of ...