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The Feinberg School of Medicine at Northwestern University has pioneered the world's first clinical-grade AI radiology system, seamlessly integrated into diagnostic processes. This advanced system can detect life-threatening conditions in milliseconds, thereby boosting workflow efficiency substantially. Addressing the global shortage of radiologists, the system's findings have been published in the esteemed JAMA Network Open journal. Deployed across 12 hospitals affiliated with Northwestern University, the AI has analyzed nearly 24,000 radiology reports over five months, enhancing report generation efficiency by an average of 15.5%. Some physicians have reported even greater gains, up to 40%, without compromising diagnostic accuracy. Subsequent studies indicate that efficiency improvements can reach as high as 80% in CT imaging tasks.
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