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Interventional radiology research

AI, imaging and device engineering, clinical investigation, and software for interventional radiology, including lower-cost tools for broader access to care.

Interventional AI

We develop AI methods and integrate imaging and sensing systems for treatment planning, target localization, and interventional device tracking.

AI for Image-Guided Ablation

We develop AI methods for ablation planning, using registration and segmentation to map treatment targets and surrounding anatomy into the procedural view. Bench experiments and clinician reader studies assess these methods.

CT anatomy and segmentation

AI-Guided Procedural Navigation

Device tracking and image registration locate interventional devices relative to anatomy and treatment targets across procedural images.

UltrasoundLung nodule biopsy

Renal angiography adapted from DEXi · CC BY-SA 4.0

ORBIT-IR

ORBIT-IR brings portable imaging, local procedural intelligence, and remote support together for spaceflight and austere environments.

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Accessible AI

We develop lower-cost imaging hardware and AI tools for communities with limited access to interventional care. We study how these tools compare with established systems in performance, total cost, and practical use in clinics with limited resources.

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Clinical Research

Clinical work includes prospective device studies, clinician reader studies, and investigation of procedural outcomes with clinical collaborators.

Research Software

We develop tools for medical-image annotation and review, dataset curation, and reproducible AI model training and evaluation.

Meet the AI-IR research team or explore the awards and sponsored studies supporting our research.