Google DeepMind's AI Beats Doctors at Spotting Eye Disease in Scan (cnet.com)

DeepMind, Google's artificial intelligence business, is planning clinical trials of technology that can help diagnose eye disease by analyzing medical images after early tests showed its results were more accurate than human doctors. From a report: Published in the scientific journal Nature, the study claims that DeepMind, in partnership with Moorfields Eye Hospital in London, has trained its algorithms to detect over 50 sight-threatening conditions to the same accuracy as expert clinicians. It is also capable of correctly recommending the most appropriate course of action for patients and prioritise those in most urgent need of care. In a project that began two years ago, DeepMind trained its machine learning algorithms using thousands of historic and fully anonymized eye scans to identify diseases that could lead to sight loss. According to the study, they can now do so with 94 percent accuracy, and the hope is that they could eventually be used to transform how eye exams are conducted around the world. You might be wondering why we need AI to do this job that has up until now been carried out by medical staff. But diagnosing eye diseases from ocular scans is incredibly time-consuming for doctors due to their complexity. Due to the aging global population, eye disease is also becoming more prevalent not less, increasing the burden on healthcare systems.

Comments

I did not see that coming

[nospam007]

But it's great.