Artificial intelligence is on a par with human experts when it comes to making medical diagnoses based on images, a review has found.
However, experts have warned the latest findings are based on a small number of studies, since the field is littered with poor-quality research.
This approach has shown promise in diagnosis of diseases from cancers to eye conditions.
However questions remain about how such deep learning systems measure up to human skills.
Liu said it would be important to use deep learning systems in clinical trials to assess whether patient outcomes improved compared with current practices.
He also said it was important to understand why such systems sometimes make the wrong assessment.
“If you are a deep learning algorithm, when you fail you can often fail in a very unpredictable and spectacular way,” he said. »
