Radiology Preprocessor Curriculum
Meet the Radiology Preprocessing Alumni
Do HM. Academic Radiology. 2020 Jan
Machado LB. AJR. 2017 Feb
“The experience going through thousands of body CTs, finding and measuring target lesions enriched my knowledge in anatomy and pathology, while providing the confidence and foundational knowledge of radiology giving me a head start in radiology residency. Experience navigating advanced automated PACS tools was especially helpful as a foreign medical graduate pursuing residency in the US.”
Do HM. Academic Radiology. 2020 Jan
This course helped me improve my cross-sectional anatomy with an introduction to radiologist workflow.
"This course let me step into the shoes of a radiologist. I was able to look at scans, understand what I saw, and physically mark my impact in bookmark tables, all while in a controlled active learning environment where my mistakes would be managed (and get fewer over time)."
Laura Machado Pichardo, MD
Radiology Resident PGY-3
Mercy Catholic Medical Center, Darby, PA.
First radiology
preprocessor (2016),
lead author of Improved Target Lesion Selection and Measurement Concordance:
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Michael Do, MD
IRTA Postdoctoral Fellow, NIH, NHLBI
Content Developer. Pivotal in developing RP course & lead author RP augmented AI Workflow:
Lillian G. Spear
Sophomore at the University of Maryland, College Park
Content Developer. Second author on RP augmented AI Workflow:
Moozhan Nikpanah, MD
Content Developer. Third author on RP augmented AI Workflow
Content Reviewer.
Author on RP augmented AI Workflow:
Alexandra Toscano
Senior at the University of Maryland, College Park.
Content Developer, Author on RP augmented AI Workflow, Presented RP Workflow at SABI 2019, the society's youngest presenter
Susan Chow, BS
First Year Medical Student at Kansas City University College of Osteopathic Medicine
Content Developer, Presented "RP Course Incentivizes Students while Improving Radiologist Workflow" SABI 2020.
"This RP course helped me develop not only an understanding and appreciation of anatomy within the human body but also familiarity with medical conditions associated with certain imaging findings. I gained a unique perspective of radiology as an active participant rather than a passive observer!"
Nik Goyal, BS (EE)
1st Year Medical Student - Perelman School of Medicine at the University of Pennsylvania
Content Developer & Presenter. First Author on ENABLE:
The RP course gave me a strong understanding of anatomy and the basics of interpreting radiologic imaging, in addition to a general understanding of radiology as a specialty. This has been extremely useful in medical school, especially since our anatomy courses integrate imaging into their curriculums