The $1.1 million grant is being utilized to look into the potential for artificial intelligence alternatives to current medical imaging technologies.
Case Western Reserve University has received $1.1 million in grant funding from the National Science Foundation to seek out an artificial intelligence-driven alternative to typical medical imaging practices. The goal of the project is to find cheaper and faster ways to perform medical imaging to improve the process for patients and medical practitioners alike.
According to an article on Case Western Reserve University’s website, Shuo Li is leading the project. Li is an associate professor of Engineering. He is quoted as saying of the project, “With this grant, our multidisciplinary team aims to improve the medical-imaging process for clinical staff and patients. Virtual contrast-enhanced imaging could save time and money while continuing to provide the best care to patients.”
Typically, contrast agents are used in x-rays, CT scans, and MRIs. The chemical contrast agents pose a number of negative aspects, including possible allergic reactions in patients, increasing costs, and can sometimes be hard to come by due to supply chain issues and shortages. The goal of this grant is to utilize artificial intelligence to create virtual imaging so chemical contrast agents no longer need to be relied upon.
Other researchers working on this project with Li include Leonardo Kayat Bittencourt, Vipin Chaudhary, and Sree Harsha Tirumani.
The National Science Foundation awarded this grant through its NSF Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science program, which aims to advance research in many disciplines in the name of public health.
For more information about Case Western Reserve University, visit the school’s website.