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Abstract

Background/Objectives: Medical research institutions are increasingly leveraging artificial intelligence (AI) to enhance the processing and analysis of medical imaging data. However, scaling AI-driven medical image analysis often requires specialized expertise and infrastructure that individual labs may lack. A centralized solution is to establish a core facility—a shared institutional resource—dedicated to Automated Medical Image Processing and Analysis (AMIPA). Methods: This technical note offers a practical roadmap for institutions to create an AI-based core facility for AMIPA, drawing on our experience in building such a resource. Results: We outline the key components for replicating a successful AMIPA core facility, including high-performance computing resources, robust AI software pipelines, data management strategies, and dedicated support personnel. Emphasis is placed on workflow automation and reproducibility, ensuring researchers can efficiently and consistently process large imaging datasets. Conclusions: By following this roadmap, institutions can accelerate AI adoption in imaging workflows and foster a shared resource that enhances the quality and productivity of medical imaging research.

Details

1009240
Title
Demonstrating an Academic Core Facility for Automated Medical Image Processing and Analysis: Workflow Design and Practical Applications
Author
Kumar, Yogesh 1   VIAFID ORCID Logo  ; Cardan, Rex A 1 ; Ho-hsin, Chang 1   VIAFID ORCID Logo  ; Heinzman, Katherine A 2   VIAFID ORCID Logo  ; Gultekin, Kadir 3   VIAFID ORCID Logo  ; Goss, Amy 4   VIAFID ORCID Logo  ; McDonald, Andrew 5 ; Murdaugh, Donna 6 ; McConathy, Jonathan 7 ; Rothenberg, Steven 7   VIAFID ORCID Logo  ; Smith, Andrew D 8   VIAFID ORCID Logo  ; Fiveash, John 1 ; Cardenas, Carlos E 1   VIAFID ORCID Logo 

 Department of Radiation Oncology, University of Alabama at Birmingham, Birmingham, AL 35233, USA; [email protected] (R.A.C.); [email protected] (H.-h.C.); [email protected] (K.A.H.); [email protected] (A.M.); [email protected] (J.F.) 
 Department of Radiation Oncology, University of Alabama at Birmingham, Birmingham, AL 35233, USA; [email protected] (R.A.C.); [email protected] (H.-h.C.); [email protected] (K.A.H.); [email protected] (A.M.); [email protected] (J.F.); Department of Biomedical Engineering, University of Alabama at Birmingham, Birmingham, AL 35294, USA; [email protected]; Institute for Cancer Outcomes and Survivorship, University of Alabama at Birmingham, Birmingham, AL 35233, USA; [email protected] 
 Department of Biomedical Engineering, University of Alabama at Birmingham, Birmingham, AL 35294, USA; [email protected] 
 Department of Nutrition Sciences, University of Alabama at Birmingham, Birmingham, AL 35233, USA; [email protected] 
 Department of Radiation Oncology, University of Alabama at Birmingham, Birmingham, AL 35233, USA; [email protected] (R.A.C.); [email protected] (H.-h.C.); [email protected] (K.A.H.); [email protected] (A.M.); [email protected] (J.F.); Institute for Cancer Outcomes and Survivorship, University of Alabama at Birmingham, Birmingham, AL 35233, USA; [email protected] 
 Institute for Cancer Outcomes and Survivorship, University of Alabama at Birmingham, Birmingham, AL 35233, USA; [email protected]; Department of Pediatrics, University of Alabama at Birmingham, Birmingham, AL 35233, USA 
 Department of Radiology, University of Alabama at Birmingham, Birmingham, AL 35294, USA; [email protected] (J.M.); [email protected] (S.R.); [email protected] (A.D.S.) 
 Department of Radiology, University of Alabama at Birmingham, Birmingham, AL 35294, USA; [email protected] (J.M.); [email protected] (S.R.); [email protected] (A.D.S.); Department of Radiology, St Jude Children’s Research Hospital, Memphis, TN 38105, USA 
Publication title
Volume
15
Issue
7
First page
803
Publication year
2025
Publication date
2025
Publisher
MDPI AG
Place of publication
Basel
Country of publication
Switzerland
Publication subject
e-ISSN
20754418
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2025-03-21
Milestone dates
2025-02-03 (Received); 2025-03-19 (Accepted)
Publication history
 
 
   First posting date
21 Mar 2025
ProQuest document ID
3188779764
Document URL
https://www.proquest.com/scholarly-journals/demonstrating-academic-core-facility-automated/docview/3188779764/se-2?accountid=208611
Copyright
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-07-07
Database
ProQuest One Academic