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Updated: Sep 1, 2025

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
Published on: July 11, 2025
Academic Radiology Departments Should Lead Artificial Intelligence Initiatives
Samantha M Santomartino1, Eliot Siegel1, Paul H Yi2
1University of Maryland Medical Intelligent Imaging (UM2ii) Center, Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, W. Baltimore Street, First Floor, Rm. 1172, 21201 Baltimore, MD.
Rationale And Objectives:
With a track record of innovation and unique access to digital data, radiologists are distinctly positioned to usher in a new medical era of artificial intelligence (AI).
Materials And Methods:
In this Perspective piece, we summarize AI initiatives that academic radiology departments should consider related to the traditional pillars of education, research, and clinical excellence, while also introducing a new opportunity for engagement with industry.
Results:
We provide early successful examples of each as well as suggestions to guide departments towards future success.
Conclusion:
Our goal is to assist academic radiology leaders in bringing their departments into the AI era and realizing its full potential in our field.
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