F
Fred Prior
Federal Grant PI
High Impact
Distinguished Professor
faculty
Department Chairs, College of Medicine
36 h-index
221 pubs
13,893 cited
Research Areas
Biography and Research Information
OverviewAI-generated summary
Fred Prior's research focuses on the application of artificial intelligence and machine learning in medical imaging, with a particular emphasis on cancer detection and diagnosis. He has published extensively on topics such as AI and machine learning in cancer imaging, checklists for AI in medical imaging, and guidelines for trustworthy AI in healthcare. His work also addresses the crucial aspects of data preparation and infrastructure for AI in medical imaging, exploring open-access platforms and the experiences of international projects.
Prior's research extends to the application of machine learning in other critical healthcare settings, including intensive care units, and the use of AI for processing voice samples to identify neurological conditions like Parkinson's disease. He is also involved in developing tools and libraries, such as medigan, for synthesizing medical images using generative models. His scholarship is recognized by a high h-index of 36 and over 13,000 citations, reflecting a significant body of work in the field.
He has secured substantial federal funding for his research, including a $7.8 million NIH grant for a Data Coordinating and Operations Center for a pediatric clinical trials network and a $1.5 million NIH grant for sustaining platforms for quantitative imaging informatics in precision medicine. Prior holds leadership positions in various institutional committees and serves as an editor for prominent biomedical informatics journals, demonstrating his engagement with the broader research community.
Research Overview
Member/Co-Chair NIH Neuroscience and Ophthalmic Imaging Technologies Study Section Member of the Winthrop P. Rockefeller Cancer Institute Senior Leaders committee Member of the COM Research Council Member of the Research Technology Executive Committee Member, Electronic Data Warehouse Working and Executive Governance Groups Member, Translational Research Institute Leadership Council Leader, Biomedical Informatics Core, Translational Research Institute Special Issue Editor, Journal of Biomedical Informatics Reviewing Editor, Computerized Medical Imaging and Graphics Associate Editor, IEEE Journal of Biomedical and Health Informatics
Metrics
- h-index: 36
- Publications: 221
- Citations: 13,893
Selected Publications
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Enabling global image data sharing in the life sciences (2025)
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A large-scale multicenter breast cancer DCE-MRI benchmark dataset with expert segmentations (2025)
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Pre-trained convolutional neural networks identify Parkinson’s disease from spectrogram images of voice samples (2025)
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FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare (2025)
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Environment scan of generative AI infrastructure for clinical and translational science (2025)
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Summary of the National Cancer Institute 2023 Virtual Workshop on Medical Image De-identification—Part 1: Report of the MIDI Task Group - Best Practices and Recommendations, Tools for Conventional Approaches to De-identification, International Approaches to De-identification, and Industry Panel on Image De-identification (2024)
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Documenting the de-identification process of clinical and imaging data for AI for health imaging projects (2024)
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Feasibility of regional center telehealth visits utilizing a rural research network in people with Parkinson’s disease (2024)
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New implementation of data standards for AI in oncology. Experience from the EuCanImage project (2024)
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Privacy‐preserving record linkage across disparate institutions and datasets to enable a learning health system: The national <scp>COVID</scp> cohort collaborative (<scp>N3C</scp>) experience (2024)
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A machine learning method to process voice samples for identification of Parkinson’s disease (2023)
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Vitamin D Oral Replacement in Children With Obesity Related Asthma: <scp>VDORA1</scp> Randomized Clinical Trial (2023)
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The Importance of Quality Assurance in Radiation Oncology Clinical Trials (2023)
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Gait Declines Differentially in, and Improves Prediction of, People with Parkinson’s Disease Converting to a Freezing of Gait Phenotype (2023)
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Emerging Value-Based Radiology in the Era of Artificial Intelligence (2023)
Federal Grants 2 $9,468,038 total
NIH/National Cancer Institute
Contact PI
Sep 2017 - Jul 2023
NIH/NIH Office of the Director
Co-PI
Sep 2016 - Aug 2026
Data Coordinating and Operations Center for the ECHO IDeA States Pediatric Clinical Trials Network
Grants & Funding
- TCIA Sustainment and Scalability - Platforms for Quantitative Imaging Informatics in Precision Medicine - Year 4 - Continuation NIH/Nat. Cancer Institute Principal Investigator
- AcetaSTAT Validation and Commercialization NIH/Nat. Inst. of Diabetes & Digestive & Kidney Diseases - Pass Through: Acetaminophen Toxicity Diagnostics, LLC Principal Investigator
- No FP attached Kaggle Inc. Principal Investigator
- Pediatric Head Models for Improved Imaging of Neurological Development NIH/National Institutes of Health - Pass Through: Electrical Geodesics, Inc. Co-Investigator
- Integrated Versus Referral Care for Complex Psychiatric Disorders in Rural FQHCs - Continuation - Continuation - Continuation - Continuation Patient-Centered Outcomes Research Institute - Pass Through: University of Washington Principal Investigator
- No FP attached Kaggle Inc. Principal Investigator
- Robust and Trusted Data Analytics (DART) National Science Foundation - Pass Through: Arkansas Economic Development Commission Principal Investigator
- Pragmatic Randomized Trial of Proton vs. Photon Therapy for Patients with Non-Metastatic Breast Cancer Receiving Comprehensive Nodal Radiation: A Radiotherapy Comparative Effectiveness (RADCOMP) Trial - Continuation Patient-Centered Outcomes Research Institute - Pass Through: Washington University Principal Investigator
Collaboration Network
Top Collaborators
Shorabuddin Syed
University of Arkansas for Medical Sciences (US)
9 shared publications
- Application of Machine Learning in Intensive Care Unit (ICU) Settings Using MIMIC Dataset: Systematic Review
- Feasibility of telemedicine research visits in people with Parkinson’s disease residing in medically underserved areas
- The h-ANN Model: Comprehensive Colonoscopy Concept Compilation using Combined Contextual Embeddings
- Machine Learning Approach to Optimize Sedation Use in Endoscopic Procedures
- DeIDNER Corpus: Annotation of Clinical Discharge Summary Notes for Named Entity Recognition Using BRAT Tool
Showing 5 of 9 shared publications
Meredith Zozus
The University of Texas Health Science Center at San Antonio (US)
8 shared publications
- Application of Machine Learning in Intensive Care Unit (ICU) Settings Using MIMIC Dataset: Systematic Review
- The h-ANN Model: Comprehensive Colonoscopy Concept Compilation using Combined Contextual Embeddings
- Machine Learning Approach to Optimize Sedation Use in Endoscopic Procedures
- DeIDNER Corpus: Annotation of Clinical Discharge Summary Notes for Named Entity Recognition Using BRAT Tool
- API Driven On-Demand Participant ID Pseudonymization in Heterogeneous Multi-Study Research
Showing 5 of 8 shared publications
Alfred Anzalone
8 shared publications
- Risk for stillbirth among pregnant individuals with SARS-CoV-2 infection varied by gestational age
- Vaccination Against SARS-CoV-2 Decreases Risk of Adverse Events in Patients who Develop COVID-19 Following Cancer Surgery
- Chronic Lung Disease as a Risk Factor for Long COVID in Patients Diagnosed With Coronavirus Disease 2019: A Retrospective Cohort Study
- Chronic Lung Disease as a Risk Factor for Long COVID in Patients Diagnosed With Coronavirus Disease 2019: A Retrospective Cohort Study
- Hormone replacement therapy and COVID-19 outcomes in solid organ transplant recipients compared with the general population
Showing 5 of 8 shared publications
Mahanazuddin Syed
University of Arkansas for Medical Sciences (US)
7 shared publications
- Application of Machine Learning in Intensive Care Unit (ICU) Settings Using MIMIC Dataset: Systematic Review
- The h-ANN Model: Comprehensive Colonoscopy Concept Compilation using Combined Contextual Embeddings
- Machine Learning Approach to Optimize Sedation Use in Endoscopic Procedures
- DeIDNER Corpus: Annotation of Clinical Discharge Summary Notes for Named Entity Recognition Using BRAT Tool
- API Driven On-Demand Participant ID Pseudonymization in Heterogeneous Multi-Study Research
Showing 5 of 7 shared publications
Karim Lekadir
Universitat de Barcelona (ES)
7 shared publications
- FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare
- Data preparation for artificial intelligence in medical imaging: A comprehensive guide to open-access platforms and tools
- medigan: a Python library of pretrained generative models for medical image synthesis
- FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare
- Documenting the de-identification process of clinical and imaging data for AI for health imaging projects
Showing 5 of 7 shared publications
Linda Larson‐Prior
University of Arkansas for Medical Sciences
7 shared publications
In database
- A machine learning method to process voice samples for identification of Parkinson’s disease
- Feasibility of telemedicine research visits in people with Parkinson’s disease residing in medically underserved areas
- Semantic Integration of Multi-Modal Data and Derived Neuroimaging Results Using the Platform for Imaging in Precision Medicine (PRISM) in the Arkansas Imaging Enterprise System (ARIES)
- Pre-trained convolutional neural networks identify Parkinson’s disease from spectrogram images of voice samples
- Gait Declines Differentially in, and Improves Prediction of, People with Parkinson’s Disease Converting to a Freezing of Gait Phenotype
Showing 5 of 7 shared publications
Adam Wilcox
7 shared publications
- Who is pregnant? Defining real-world data-based pregnancy episodes in the National COVID Cohort Collaborative (N3C)
- Risk for stillbirth among pregnant individuals with SARS-CoV-2 infection varied by gestational age
- Vaccination Against SARS-CoV-2 Decreases Risk of Adverse Events in Patients who Develop COVID-19 Following Cancer Surgery
- Chronic Lung Disease as a Risk Factor for Long COVID in Patients Diagnosed With Coronavirus Disease 2019: A Retrospective Cohort Study
- Hormone replacement therapy and COVID-19 outcomes in solid organ transplant recipients compared with the general population
Showing 5 of 7 shared publications
Alexis Graves
7 shared publications
- Who is pregnant? Defining real-world data-based pregnancy episodes in the National COVID Cohort Collaborative (N3C)
- Risk for stillbirth among pregnant individuals with SARS-CoV-2 infection varied by gestational age
- Vaccination Against SARS-CoV-2 Decreases Risk of Adverse Events in Patients who Develop COVID-19 Following Cancer Surgery
- Chronic Lung Disease as a Risk Factor for Long COVID in Patients Diagnosed With Coronavirus Disease 2019: A Retrospective Cohort Study
- Hormone replacement therapy and COVID-19 outcomes in solid organ transplant recipients compared with the general population
Showing 5 of 7 shared publications
Amy L. Olex
7 shared publications
- Risk for stillbirth among pregnant individuals with SARS-CoV-2 infection varied by gestational age
- Vaccination Against SARS-CoV-2 Decreases Risk of Adverse Events in Patients who Develop COVID-19 Following Cancer Surgery
- Chronic Lung Disease as a Risk Factor for Long COVID in Patients Diagnosed With Coronavirus Disease 2019: A Retrospective Cohort Study
- Hormone replacement therapy and COVID-19 outcomes in solid organ transplant recipients compared with the general population
- Hormone replacement therapy and COVID-19 outcomes in solid organ transplant recipients compared with the general population
Showing 5 of 7 shared publications
Anita Walden
Cohort (United Kingdom) (GB)
7 shared publications
- Risk for stillbirth among pregnant individuals with SARS-CoV-2 infection varied by gestational age
- Vaccination Against SARS-CoV-2 Decreases Risk of Adverse Events in Patients who Develop COVID-19 Following Cancer Surgery
- Racial and Ethnic and Rural Variations in the Use of Hybrid Prenatal Care in the US
- Chronic Lung Disease as a Risk Factor for Long COVID in Patients Diagnosed With Coronavirus Disease 2019: A Retrospective Cohort Study
- Hormone replacement therapy and COVID-19 outcomes in solid organ transplant recipients compared with the general population
Showing 5 of 7 shared publications
Melody Greer
University of Arkansas for Medical Sciences (US)
6 shared publications
- The h-ANN Model: Comprehensive Colonoscopy Concept Compilation using Combined Contextual Embeddings
- Machine Learning Approach to Optimize Sedation Use in Endoscopic Procedures
- DeIDNER Corpus: Annotation of Clinical Discharge Summary Notes for Named Entity Recognition Using BRAT Tool
- Vitamin D Oral Replacement in Children With Obesity Related Asthma: <scp>VDORA1</scp> Randomized Clinical Trial
- DeIDNER Model: A Neural Network Named Entity Recognition Model for Use in the De-identification of Clinical Notes
Showing 5 of 6 shared publications
Aaron S. Kemp
Arkansas Children's Hospital
6 shared publications
In database
- A machine learning method to process voice samples for identification of Parkinson’s disease
- Feasibility of telemedicine research visits in people with Parkinson’s disease residing in medically underserved areas
- Semantic Integration of Multi-Modal Data and Derived Neuroimaging Results Using the Platform for Imaging in Precision Medicine (PRISM) in the Arkansas Imaging Enterprise System (ARIES)
- Pre-trained convolutional neural networks identify Parkinson’s disease from spectrogram images of voice samples
- Feasibility of regional center telehealth visits utilizing a rural research network in people with Parkinson’s disease
Showing 5 of 6 shared publications
Lakshmi Pillai
University of Arkansas for Medical Sciences
6 shared publications
In database
- A machine learning method to process voice samples for identification of Parkinson’s disease
- Feasibility of telemedicine research visits in people with Parkinson’s disease residing in medically underserved areas
- Semantic Integration of Multi-Modal Data and Derived Neuroimaging Results Using the Platform for Imaging in Precision Medicine (PRISM) in the Arkansas Imaging Enterprise System (ARIES)
- Pre-trained convolutional neural networks identify Parkinson’s disease from spectrogram images of voice samples
- Gait Declines Differentially in, and Improves Prediction of, People with Parkinson’s Disease Converting to a Freezing of Gait Phenotype
Showing 5 of 6 shared publications
Tuhin Virmani
University of Arkansas for Medical Sciences
6 shared publications
In database
- A machine learning method to process voice samples for identification of Parkinson’s disease
- Feasibility of telemedicine research visits in people with Parkinson’s disease residing in medically underserved areas
- Semantic Integration of Multi-Modal Data and Derived Neuroimaging Results Using the Platform for Imaging in Precision Medicine (PRISM) in the Arkansas Imaging Enterprise System (ARIES)
- Pre-trained convolutional neural networks identify Parkinson’s disease from spectrogram images of voice samples
- Gait Declines Differentially in, and Improves Prediction of, People with Parkinson’s Disease Converting to a Freezing of Gait Phenotype
Showing 5 of 6 shared publications
Amin Manna
University of Nebraska Medical Center (US)
6 shared publications
- Risk for stillbirth among pregnant individuals with SARS-CoV-2 infection varied by gestational age
- Vaccination Against SARS-CoV-2 Decreases Risk of Adverse Events in Patients who Develop COVID-19 Following Cancer Surgery
- Chronic Lung Disease as a Risk Factor for Long COVID in Patients Diagnosed With Coronavirus Disease 2019: A Retrospective Cohort Study
- Hormone replacement therapy and COVID-19 outcomes in solid organ transplant recipients compared with the general population
- National Trends in Anticoagulation Therapy for COVID-19 Hospitalized Adults in the United States: Analyses of the National COVID Cohort Collaborative
Showing 5 of 6 shared publications
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