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To do this, we’ve made AI a tool to help curtail the burden of communicating findings to care teams based not only on image-based AI, but on report-based solutions. From day one, Aidoc has understood that image-based AI is crucial to prioritize urgent cases and augment radiologists, thus improving quality of care.
Over 700 devices are categorized as “artificial intelligence and machine learning enabled medicaldevices” on the FDA website. Healthcare examples : Chatbots for billing and scheduling or filtering and organizing data within a medicaldevice, such as an MRI or CT scanner.
(R)(M)(ARRT), Breast Imaging Consultant Recent headlines read: “FDA Updates Mammography Regulations in Final MQSA Rule” , “Major Updates Coming to Mammography Quality and Certification Standards….” , “FDA National Reporting Standard”, “Effective date: September 10, 2024”. Why is this quality standard measured and regulated?”
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