There’s a clear trend that having more data makes it easier to train artificial intelligence. Bigger datasets, like ImageNet, originally showed that AI could be useful for tasks like image recognition, leading to a race among everyone from large technology companies to academics to compile new datasets to stretch the limits of AI.
Now, a new paper from Stanford University shows just how fast a new dataset could be used to train artificial intelligence algorithms to the point of near-human accuracy. Using 100,000 x-ray images released by the National Institutes of Health on Sept. 27, the research published Nov. 14 (without peer review) on the website ArXiv claims its AI can detect pneumonia from x-rays with similar accuracy to four trained radiologists.