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Will Artificial Intelligence Replace Radiologists? - PMC

ncbi.nlm.nih.gov · 2,512 words · saved by 1 readers

The .gov means it’s official. Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site. The site is secure. The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely. The question of whether Machines Can Think is about as relevant as the question of whether Submarines Can Swim. As computer performance on complex vision tasks approaches that of clinical experts, radiologists look over their shoulders. Some of the ebullience for these new systems arises from the allure of creating beings in our own image (1). But the excitement is powered primarily by real innovation (2). Medical image analysis projects that once took years now can be completed in a matter of days or weeks. These huge leaps in computer vision have

editorial Radiol Artif Intell . 2019 May 15;1(3):e190058. doi: 10.1148/ryai.2019190058 Will Artificial Intelligence Replace Radiologists? Curtis P Langlotz Curtis P Langlotz , MD, PhD 1 From the Department of Radiology, Stanford University, 300 Pasteur Dr, Room H1330D, Stanford, CA 94305. Find articles by Curtis P Langlotz 1, ✉ Author information Article notes Copyright and License information 1 From the Department of Radiology, Stanford University, 300 Pasteur Dr, Room H1330D, Stanford, CA 94305. ✉ Address correspondence to the author (e-mail: langlotz@stanford.edu ). ✉ Corresponding author.

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