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At UW Health in Wisconsin, radiologists have started to embrace the use of artificial intelligence throughout their workflows.Team members have adopted AI image reconstruction algorithms for the MRI, CT scan and PET scan machines, enabling faster captures and higher-quality images.AI algorithms are also in use to analyze medical imaging and help diagnose patients. For example, as part of the emergency department triage process, computer-assisted detection tools can flag potential abnormalities in scans and then prioritize them for review, says Dr. Scott Reeder, radiology department chair at the UW School of Medicine and Public Health.Healthcare is grappling with workforce shortages and clinician burnout in multiple disciplines, including radiology. As AI and machine learning capabilities continue to improve, providers hope that AI-assisted radiology tools will help the experts better parse images for more precise clinical decision-making and alleviate administrative burdens.
Academic medical researchers and tech companies are combining their efforts to develop these new tools. Initial solutions are showing positive results for improving patient care and streamlining operations, radiologists say.To seamlessly adopt AI in radiology, healthcare organizations can take advantage of their existing technology infrastructure, including medical imaging storage systems, but they must rethink parts of their enterprise, says Mutaz Shegewi, senior research director at IDC Health Insights.
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