The algorithm does the donkey-work of searching the enormous amount of information in the slides, highlighting a few key areas of interest. Then the pathologist takes over. It doesn’t matter if the machine is flagging cells that aren’t cancerous; the human expert can quickly check through and eliminate anything that’s normal. This kind of algorithmic pre-screening partnership not only saves a lot of time, it also bumps up the overall accuracy of diagnosis to a stunning 99.5 per cent.18
