In a major clinical study, the tool boosted productivity by up to 40 percent without compromising accuracy.
In a major clinical study, the tool boosted productivity by up to 40 percent without compromising accuracy.
A first-of-its-kind generative AI system, developed in-house at Northwestern Medicine, is revolutionizing radiology — boosting productivity, identifying life-threatening conditions in milliseconds and offering a breakthrough solution to the global radiologist shortage, according to a large new study published in JAMA Network Open.
“This is, to my knowledge, the first use of AI that demonstrably improves productivity, especially in health care. Even in other fields, I haven’t seen anything close to a 40 percent boost,” said senior author Mozziyar Etemadi, MD, PhD, assistant professor of Anesthesiology and of Biomedical Engineering at McCormick School of Engineering.
For the study, the AI system was deployed in real-time across the 11-hospital Northwestern Medicine network, where nearly 24,000 radiology reports were analyzed over a five-month period in 2024. Etemadi’s team then compared radiograph report creation times and clinical accuracy with and without the AI tool.
Read more at Northwestern University
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