EB 2018: Hybrid Gross Anatomy Curriculum

In this poster, we discuss the process for introducing a “hybrid gross anatomy program” – one that combines virtual models (as in those generated from CT scans) with real, cadaveric models. Our goal is to combine the kinesthetic learning mode of physical dissection with the full understanding of the anatomy using computational tools.


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I am Assistant Professor of Pathology and Anatomical Sciences, Biomedical Engineering, and Biomedical Informatics at the University at Buffalo, SUNY. My lab develops computational tools for medical data, with a focus on imaging, machine learning, and artificial intelligence.

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