Predictions, Reality, and the Lessons of Technological Change
In 2016, one of the world’s most influential artificial intelligence researchers, Geoffrey Hinton, made a prediction that reverberated throughout both the technology and healthcare industries. Speaking at a conference in Toronto, Hinton suggested that society should stop training radiologists because artificial intelligence would soon outperform them at interpreting medical images.
Their work involves synthesizing imaging findings with patient histories, laboratory results, and clinical notes.