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Are just one stop away, they are ages away in terms of technology. a lot of times with machines doing very well in many other industries, they are not doing them in healthcare, which is -- if i affects all of us. >> using data from 60,000 patients, the professor uses a mammogram to learn patterns in breast tissues that could be precursors of cancer. you it can predict cancer as far as five years into the future. >> we are able to detect breast cancer earlier than a radiologist might. maria: the provost at m.i.f.'s teams are driving research. a radiologist and a machine algorithm is doing trans...

Are just one stop away, they are ages away in terms of technology. a lot of times with machines doing very well in many other industries, they are not doing them in healthcare, which is -- if i affects all of us. >> using data from 60,000 patients, the professor uses a mammogram to learn patterns in breast tissues that could be precursors of cancer. you it can predict cancer as far as five years into the future. >> we are able to detect breast cancer earlier than a radiologist might. maria: the provost at m.i.f.'s teams are driving research. a radiologist and a machine algorithm is doing trans...

So 30% of radiologists will miss something on a scan, whereas machines are be trained to get the rate down to less than 1%. so it's really important and it's not just medical scans and slides, all the things that we are looking at with data, we can get augmented help from machine algorithm. >> you made the point that it's not that machines would replace human beings, that they'll augment them. when i think about the scans, i think why do you need a radiologist if the machine is doing a better job? >> for lots of reasons. because you don't want to entrust the machine with a human life. moreover...