Google’s DeepMind AI Not Only Identifies Eye Diseases But Goes Step Further And Explains Its Conclusions
Being able to explain how the artificial intelligence technology reached its diagnoses for dozens of eye ailments is a breakthrough and a crucial step toward outperforming the work of human doctors, according to the study in Nature Medicine.
Google DeepMind AI System Diagnoses Eye Diseases And Shows Its Work
In eye care, artificial intelligence systems have shown they can match the accuracy of doctors in diagnosing specific diseases. But a new system designed by Google DeepMind and British doctors goes a crucial step further: It can show users how it reached its conclusions. A study published Monday in Nature Medicine reports that the DeepMind system can identify dozens of diseases and point out the portions of optical coherence tomography scans that it relies upon to make its diagnoses. That’s a crucial factor in validating the safety and efficacy of AI technologies being developed for use in diagnosing or recommending treatments for a broad range of diseases, from cancer to neurological and vision problems. (Ross, 8/13)
Google’s DeepMind To Create Product To Spot Eye Disease
DeepMind and its partners in the research, London’s Moorfields Eye Hospital and the University College London Institute of Ophthalmology, said they plan prospective clinical trials of the technology in 2019. If those trials are successful, DeepMind said it would seek to create a regulator-approved product that Moorfields could roll out across the U.K. It said the product would be free for an initial five-year period. The software would be the first time a DeepMind AI algorithm using machine learning has ended up in a healthcare product. (Kahn, 8/13)