source https://www.economist.com/special-report/2016/06/25/automation-and-anxiety
"Igor Barani" the chief executive of 'Enlitic' introduced a host of the startups applying deep learning to medicine, starting with the analysis of images such as X-rays and CT scans. Enlitic’s deep-learning system examined and compared them to see if they are blood vessels, harmless imaging artefacts or malignant lung nodules. The system ends up highlighting a particular feature for further investigation. In an examination, against three expert human radiologists working together, Enlitic’s system was 50% better at classifying malignant tumours compared with those of humans. Another of Enlitic’s systems, which examines X-rays to detect wrist fractures, also handily outperformed human experts. The firm’s technology is currently being tested in 40 clinics across Australia.
"Enlitic’s Deep learning system" is renowned for its superhuman prowess at certain forms of image recognition and there is tremendous potential to make health care more accurate and efficient. A computer that dispenses expert radiology advice is just one example of how jobs currently done by highly trained white-collar workers can be replaced by automated machines, thanks to the advance of deep learning and other forms of artificial intelligence.