Artificial intelligence has been enjoying a boom in certain medical specialties and radiology always stands out. There is an interesting story in MIT Tech Review about what A.I. is capable of in imaging. Rizwan Malik, radiologist at the Royal Bolton Hospital, turned to A.I. to make his job easier. In his hospital, patients often had to wait six hours or more for a specialist to look at their x-rays. If an emergency room doctor could get an initial reading from an A.I.-based tool, it could dramatically shrink that wait time. A specialist could follow up the A.I. system’s reading later. So last year, Malik identified a promising A.I.-based chest x-ray system called qXR from Qure.ai and proposed to test the system over six months. As COVID-19 jumped into our lives, they also had to re-design the system that now is capable of identifying coronavirus-specific signs. Such a fast response and iteration is only possible in the case of A.I.-based medical technologies. This is why it's so crucial that the FDA, for example, started analyzing companies instead of individual algorithms for approval. Also, there are so many COVID-19 related ongoing A.I. projects in medical imaging, that Stanford started to curate many: https://lnkd.in/gE_rdhP #themedicalfuturist #AI
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