
Sign up to save your podcasts
Or


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
By BBC Radio 44.8
5353 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

7,878 Listeners

1,084 Listeners

375 Listeners

853 Listeners

1,075 Listeners

5,580 Listeners

1,800 Listeners

1,752 Listeners

1,958 Listeners

40 Listeners

424 Listeners

69 Listeners

156 Listeners

745 Listeners

144 Listeners

112 Listeners

3,218 Listeners

23 Listeners

791 Listeners

1,011 Listeners

3,903 Listeners

857 Listeners

49 Listeners

43 Listeners