A medical artificial intelligence (AI) system, screening human retinas for three different types of diseases, was so efficient it could reduce doctors' workload by up to 80%, freeing up clinicians to spend more time offering treatment, according to Professor Wong Tien Yin of the Singapore National Eye Center. Dr Olivier Elemento, director of the Caryl and Israel Englander Institute for Precision Medicine at Weill Cornell Medicine said AI had the potential to "improve the productivity of physicians, potentially up to threefold". The system is based on a deep learning technique called convolutional neural networks (CNN), which are used in image recognition systems such as Microsoft's Bing search engine.
A medical artificial intelligence (AI) system, screening human retinas for three different types of diseases, was so efficient it could reduce doctors' workload by up to 80%, freeing up clinicians to spend more time offering treatment, according to Professor Wong Tien Yin of the Singapore National Eye Center. Dr Olivier Elemento, director of the Caryl and Israel Englander Institute for Precision Medicine at Weill Cornell Medicine said AI had the potential to "improve the productivity of physicians, potentially up to threefold". The technology would become increasingly utilised in the medical caregiving process, it forecast.