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Google’s DeepMind to apply artificial intelligence technology to NHS in next five years

pharmafile | June 13, 2016 | News story | Medical Communications, Research and Development, Sales and Marketing | DeepMind, NHS, collaboration, google, health tech

Google’s artificial intelligence company DeepMind Technologies wants to apply its machine learning technology to NHS patient data within the next five years, according to reports.

Under the Memorandum of Understanding (MoU) with Royal Free NHS Trust in London, DeepMind will work to collaborate on innovative and transformational projects.

The partnership hopes to achieve improvements in clinical outcomes, patient safety and cost reductions.

Early May, Google was granted access to about 1.6 million NHS patient records, via a data sharing agreement, to aid the development of an application that will alert patients at risk of sustaining acute kidney injuries.

The agreement gives Google access to full names as well as patient histories and has attracted criticism from those averse to tech companies collecting big data, questioning the rationale behind sharing such vast volumes of information.

Under the agreement, Google’s artificial intelligence division DeepMind will have access to all of the data for patients from the Royal Free, Barnet and Chase Farm hospitals in London going back over the past five years and continuing until 2017.

Anjali Shukla

Google’s DeepMind to apply artificial intelligence technology to NHS in next five years

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