Artificial intelligence and machine learning are predicted to be part of the next industrial revolution and could help business and industry – including healthcare – save billions of dollars by the next decade. The tech giants Google, Facebook, Apple, IBM and others are applying artificial intelligence to all sorts of data. Machine learning methods are being used in areas such as translating language almost in real time, and even to identify images of cats on the internet.
So why haven’t we seen artificial intelligence used to the same extent in healthcare?
Radiologists still rely on visual inspection of magnetic resonance imaging (MRI) or X-ray scans – although IBM and others are working on this issue – and doctors have no access to AI for guiding and supporting their diagnoses.
Here lies the problems with healthcare: data sets are not yet big enough and the correct answers to be learned are often ambiguous or even unknown.
Read the source article at The Conversation.