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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.

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Hannah Fry Quote: “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.”

“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.”

Hannah Fry

Hannah Fry Quote: “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.”
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