UC Cancer Center uses AI to enhance early lung cancer detection
Local 12 highlighted how artificial intelligence technology (AI) is helping University of Cincinnati Cancer Center experts improve early detection of lung cancer, potentially saving lives by identifying suspicious findings sooner.
"It's like looking for a different star in a night sky full of stars," said Sangita Kapur, MD, adjunct associate professor and section chief of cardiopulmonary radiology in the Department of Radiology in UC's College of Medicine and a UC Health radiologist.
The AI software "cleans up" CT scan images, making it easier to identify potential lung nodules that could be cancerous.
"So what remains? Just the funny looking stars," Kapur explained.
The AI system not only speeds up the results but also increases the likelihood of detecting early signs of cancer in at-risk individuals.
Read or watch the Local 12 report.
Featured photo of a person in a CT machine. Photo/Colleen Kelley/UC Marketing + Brand.
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