Yet DeepMind began its foray into health with grand ambitions about applying AI to patient data, quietly inking an expansive data-sharing arrangement plus memorandum of understanding with an NHS Trust to get access to millions of patients’ full (and fully identifiable) medical records, as we reported at the time.
Then last year the U.K.’s data protection watchdog ruled the first arrangement had breached U.K. law — with the information commissioner saying patients “would not have reasonably expected” their sensitive medical records to be used for developing an app.
The whole episode opened a Pandora’s box of data governance, privacy and trust issues — which DeepMind now appears to be dumping directly onto Google, which will now be fully in the frame as the health app provider (and patient data handler) behind Streams.
Does having a data scientist that understand the machine learning algorithmic details help?
Instead of writing such detailed instructions to recognize a pet, with supervised machine learning, you feed the machine learning algorithm with lots of labeled examples, such as photos that are properly identified as cats and dogs.
Then, the machine learning algorithm can create a program, also known as a model, that can recognize cats and dogs with amazing accuracy.
With this ability to recognize patterns in data, machine learning can be used in a variety of tasks, not just academic examples such as dog recognition.
The once complex pattern recognition problem has become as simple as managing the labeled data and using the machine learning algorithms.