Recent advances in artificial intelligence have led to speculation that AI might one day replace human radiologists. Researchers have developed deep learning neural networks that can identify pathologies in radiological images such as bone fractures and potentially cancerous lesions, in some cases more reliably than an average radiologist. For the most part, though, the best systems are currently on par with human performance and are used only in research settings.
AI Will Change Radiology, but It Won’t Replace Radiologists
Machine learning is getting better and better at understanding images.
March 27, 2018
Summary.
Recent advances in artificial intelligence have led to speculation that AI might one day replace human radiologists. Researchers have developed deep learning neural networks that can identify pathologies in radiological images such as bone fractures and potentially cancerous lesions, in some cases more reliably than an average radiologist. But the great majority of radiologists will continue to have jobs in the decades to come — jobs that will be altered and enhanced by AI. Because of this, they will need to adopt new skills and work processes. The only radiologists whose jobs may be threatened are the ones who refuse to work with AI.
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