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Pittsburgh Center for Artificial Intelligence Innovation in Medical Imaging

Shandong, Wu and Vorp, David and Panigrahy, Ashok and Gilbertson, John and Berg, Wendie and Hwang, Seong Je and Batmanghelich, Kayhan and Colen, Rivka and Lucas, Peter and Nishikawa, Robert (2020) Pittsburgh Center for Artificial Intelligence Innovation in Medical Imaging. In: Pitt Momentum Fund 2020, University of Pittsburgh, Pittsburgh, Pa. (Unpublished)

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Abstract

We propose to create a medical imaging artificial intelligence (AI) center (name: Pittsburgh Center for Artificial Intelligence Innovation in Medical Imaging). AI is the new revolutionary technique for medical research and is reshaping tomorrow’s clinical practice in medical imaging (radiology and pathology). Our long-term vision is to build a center for innovative AI in clinical translational medical imaging by combining computational expertise and clinical resources across Pitt, UPMC, and CMU. The Center concept is a formalization of a group of researchers and clinicians that are united by the common theme: “building advanced and trustworthy imaging AI for clinical applications.” Our short-term plan is to assemble dedicated members from the School of Medicine, the School of Engineering, and the School of Computing and Information. We seek a Scaling grant from the Momentum Funds to foster collaborative activities of the Center between these three Pitt schools to provide the essential components of a competitive P41 (Biomedical Technology Resource Centers) center grant in 2 years. The National Institute of Biomedical Imaging and Bioengineering (NIBIB) P41 mechanism aligns with the overall vision of this initiative to develop specific AI imaging tools and to support the dissemination and commercialization pathways that are essential to bringing AI imaging tools to clinical practice. These projects will include key components: 1) Clinical need-driven medical imaging AI development and evaluation of tools, models, systems, and informatics, 2) Core imaging AI theory, methodology, and algorithm investigation, and 3) Linking imaging phenotypes to the biological (genomics and proteomics) underpinnings. To date, we have already 35 members for the Center. The Pitt Momentum Funds will provide critical scaling support to promote communication between the three Pitt schools to develop a competitive P41 grant application and a sustainable framework to ensure the clinical impact of these AI imaging tools.


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Details

Item Type: Conference or Workshop Item (Poster)
Status: Unpublished
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Shandong, Wushw83@pitt.edushw830000-0002-0770-2203
Vorp, Davidvorp@pitt.eduvorp0000-0002-6467-2151
Panigrahy, Ashokasp55@pitt.eduasp550000-0003-1966-6681
Gilbertson, Johnjohngilb@pitt.edujohngilb
Berg, Wendiewab25@pitt.eduwab250000-0002-8792-6185
Hwang, Seong Jesjh95@pitt.edusjh95
Batmanghelich, Kayhankayhan@pitt.edukayhan0000-0001-9893-9136
Colen, Rivkacolenrr@upmc.educolenrr
Lucas, Peterpcl8@pitt.edupcl8
Nishikawa, Robertrmn29@pitt.edurmn290000-0001-7720-9951
Centers: Other Centers, Institutes, Offices, or Units > Office of Sponsored Research > Pitt Momentum Fund
Date: 2020
Event Title: Pitt Momentum Fund 2020
Event Type: Other
DOI or Unique Handle: 10.18117/5x0y-8p23
Schools and Programs: School of Computing and Information > Computer Science
School of Medicine > Biomedical Informatics
School of Medicine > Radiology
Refereed: No
Date Deposited: 24 Feb 2020 16:57
Last Modified: 24 Feb 2020 18:13
URI: http://d-scholarship.pitt.edu/id/eprint/38215

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