University of Pennsylvania, Penn Medicine
- Center for Practice Transformation, Department of Radiology
- Center for Global and Population Health Research, Department of Radiology
- McBeth Lab, Department of Radiation Oncology
Overview
About
Bridging radiology, clinical AI, and global health informatics through collaborative research.
Satvik Tripathi is a researcher at the Perelman School of Medicine at the University of Pennsylvania. He works within the Department of Radiology and Radiation Oncology. Fellow at Penn Center for Cancer Care Innovation (PC3I). His research aims to develop clinically relevant artificial intelligence and evaluate its impact on patient-centered care and global health informatics.
He is also a visiting student and researcher at the Department of Radiology at Harvard Medical School/Mass General Hospital, as well as the Athinoula A. Martinos Center for Biomedical Imaging. Working on advanced AI methods in Vascular and Interventional Radiology.
Currently serving on the RSNA Radiology AI Trainee Editorial Board, as an AI scientist for RAD-AID international, and as a committee member for SIIM and EUSOMII.
Focus Areas
- Clinical translation of AI tools for imaging workflows
- Human-centered evaluation and responsible deployment
- Global radiology access and equitable care innovation
Profile Snapshot
At a Glance
A quick look at current collaborations, leadership roles, and research momentum.
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Academic hubs across Penn, HMS, and MGH
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Active focus areas in imaging AI
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Service roles in radiology AI organizations
- Translational research spanning interventional radiology, oncology, and informatics.
- Designing AI workflows that improve clinical decision support and patient outcomes.
- Committed to global health partnerships and accessible radiology innovation.
Collaborations
Laboratories & Collaborations
Research groups and clinical partners that shape ongoing work in imaging AI.
MGH/HMS Martinos Center
- Quantitative Translational Imaging in Medicine Laboratory (QTIM)
- Precision Interventional and Medical Imaging (PIMI) Research Group
Expertise
Research Interests
Key topics guiding current research and innovation priorities.
Onco Imaging
Explainable AI
Large Language Models
Clinical Informatics
Patient-Centered Care
Global Health Informatics
Initiatives
Current Research Directions
Modular streams that guide active projects, grant work, and cross-institutional studies.
Clinical AI Translation
Deploying real-world decision support tools with rigorous clinical evaluation and stakeholder feedback loops.
Interventional Imaging Intelligence
Advanced imaging analytics for vascular and interventional radiology, from procedural planning to outcomes.
Global Health & Equity
Scaling AI that improves access to radiology expertise while maintaining safety and equity metrics.
Updates
Recent Highlights
Recent awards, publications, and project milestones.
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Our abstract was selected as one of the top 20 abstracts at the 2024 National Neurotrauma Symposium.
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Received a prestigious trainee travel award from the National Neurotrauma Society.
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Won the $5k grand prize in the advanced track at the 2024 Philly CodeFest.
Scholarship
Selected Publications
Curated articles and conference papers highlighting clinical AI impact.
A curated publication list is coming soon.
Leadership
Service & Recognition
Professional service and community contributions across imaging AI forums.