Would you trust an algorithm to diagnose an illness?

We put a lot of trust in our doctors. Would we do the same for AI?

As the global market for artificial intelligence in healthcare surges — expected to rise from $1.3 billion in 2019 to $10 billion by 2024, according to Morgan Stanley — it seems we may have to. Deep learning is an AI approach modeled on the neural networks of the brain. It can analyze complex layers of information and identify abnormalities or trends in medical images.

Usually this is a manual process, by which an embryologist sorts through multiple images, assigning a quality score that helps them decide which ones to implant first. "Grading of the embryo by a human is very subjective," Nikica Zaninovic, an embryologist at the Center for Reproductive Medicine at Weill Cornell Medicine, tells CNN Business."Using AI to grade the embryos means we can do some standardization.

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