Applying AI to Cancer Research, a UF Professor Helps Transform Medical Imaging

Medical imaging plays a central role in the diagnosis, treatment and monitoring of cancer – whether it involves visualizing the location of a tumor for surgery or tracking disease progression over time. And artificial intelligence is completely transforming the process, helping to improve diagnostic accuracy and lower health care costs.

Researchers at the UF Health Cancer Center are developing AI algorithms for a range of medical image analysis tasks, such as multimodal image fusion, cancer detection, organ segmentation and enhanced image resolution.

“Our goal is to create personalized, effective and less expensive health care solutions that reduce the burden of diseases like cancer,” said Wei Shao, Ph.D., an assistant professor of quantitative health in the UF College of Medicine and a faculty member in UF’s AI Initiative, who is leading this effort in AI-enhanced medical imaging.

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