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Machine learning has come on in leaps and bounds in recent years. Bigger, more powerful computers can crunch ever more amounts of data, analysing complex information just as accurately, it’s claimed, as the best specialists and at speeds humans can never achieve. With the potential to make a significant difference to healthcare - helping to diagnose disease, summarise patients’ medical notes, even predict health conditions years before any symptoms appear. But how long before the potential benefits become a reality? And what are the possible pitfalls? Join David Aaronovitch and a panel of guests to find out.
Guests:
Presenter: David Aaronovitch
4.8
5151 ratings
Machine learning has come on in leaps and bounds in recent years. Bigger, more powerful computers can crunch ever more amounts of data, analysing complex information just as accurately, it’s claimed, as the best specialists and at speeds humans can never achieve. With the potential to make a significant difference to healthcare - helping to diagnose disease, summarise patients’ medical notes, even predict health conditions years before any symptoms appear. But how long before the potential benefits become a reality? And what are the possible pitfalls? Join David Aaronovitch and a panel of guests to find out.
Guests:
Presenter: David Aaronovitch
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