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Knight Hall, St. Louis, MO 63105

#WashUBME

Presenting on “AI & Data Science in Medical Imaging of Cancer and COVID-19”.

Maryellen L. Giger, PhD, A.N. Pritzker Distinguished Service Professor of Radiology at the University of Chicago, will speak on Thursday, October 19, 2023 at 10:00 am CST in Emerson Auditorium, Knight Hall, Throop Drive and, Snow Way Dr, St. Louis, MO 63130.

Abstract: Artificial Intelligence in medical imaging involves research in task-based discovery, predictive modeling, and robust clinical translation.  Quantitative radiomic analyses, an extension of computer-aided detection (CADe) and computer-aided diagnosis (CADx) methods, are yielding novel image-based tumor characteristics, i.e., signatures that may ultimately contribute to the design of patient-specific cancer diagnostics and treatments. Beyond human-engineered features, deep networks are being investigated in the diagnosis of disease on radiography, ultrasound, and MRI.  The method of extracting characteristic radiomic features of a region can be referred to as “virtual biopsies”.  Various AI methods are evolving as aids to radiologists as a second reader or a concurrent reader, or as a primary autonomous reader.  This presentation will discuss the development, validation, database needs, and ultimate future implementation of AI in the clinical radiology workflow including examples from cancer and COVID-19, including the creation and benefits of MIDRC (midrc.org).

Registration to attend in-person or virtually is strongly encouraged: AI & Digital Health Summit Tickets, Thurs., Oct. 19 2023 at 10:00 AM | Eventbrite


Registration to attend in-person or virtually is strongly encouraged: AI & Digital Health Summit Tickets, Thurs., Oct. 19 2023 at 10:00 AM | Eventbrite

Knight Hall, St. Louis, MO 63105

#WashUBME

Presenting on “AI & Data Science in Medical Imaging of Cancer and COVID-19”.

Maryellen L. Giger, PhD, A.N. Pritzker Distinguished Service Professor of Radiology at the University of Chicago, will speak on Thursday, October 19, 2023 at 10:00 am CST in Emerson Auditorium, Knight Hall, Throop Drive and, Snow Way Dr, St. Louis, MO 63130.

Abstract: Artificial Intelligence in medical imaging involves research in task-based discovery, predictive modeling, and robust clinical translation.  Quantitative radiomic analyses, an extension of computer-aided detection (CADe) and computer-aided diagnosis (CADx) methods, are yielding novel image-based tumor characteristics, i.e., signatures that may ultimately contribute to the design of patient-specific cancer diagnostics and treatments. Beyond human-engineered features, deep networks are being investigated in the diagnosis of disease on radiography, ultrasound, and MRI.  The method of extracting characteristic radiomic features of a region can be referred to as “virtual biopsies”.  Various AI methods are evolving as aids to radiologists as a second reader or a concurrent reader, or as a primary autonomous reader.  This presentation will discuss the development, validation, database needs, and ultimate future implementation of AI in the clinical radiology workflow including examples from cancer and COVID-19, including the creation and benefits of MIDRC (midrc.org).

Registration to attend in-person or virtually is strongly encouraged: AI & Digital Health Summit Tickets, Thurs., Oct. 19 2023 at 10:00 AM | Eventbrite