Technological Advances in Interventional Radiology: AI & Robotics

Medical Student Overview

Technological Advances in Interventional Radiology

AI • Robotics • Extended Reality • CBCT Imaging

A Review of Modern IR Innovations

Introduction

What is Interventional Radiology?

Minimally invasive procedures guided by medical imaging

Combines diagnostic imaging with targeted therapy

Alternative to open and laparoscopic surgery

Shorter hospital stays, faster recovery, less pain

Global IR market valued at ~USD $25–30 billion in the mid-2020s, projected to keep growing through 2030

Agenda

What We'll Cover Today

01 — CBCT & Image Fusion

Real-time 3D imaging inside the procedure room

02 — Artificial Intelligence

Smarter planning, guidance & outcome prediction

03 — Extended Reality (XR)

Training, planning & AR-guided procedures

04 — Robotics in IR

Precision, safety & remote interventions

Plus: Ethics, challenges & future directions

CBCT & Imaging

Cone-Beam CT: Seeing in 3D During the Procedure

What is it?

A C-arm rotates around the patient and reconstructs a full 3D image in under 20 seconds — right there in the procedure room.

Why does it matter?

Real-time 3D visualisation — no CT scanner trip needed

Overlay tumour maps and vessel roadmaps onto live fluoroscopy

Improves needle and catheter placement accuracy

Think of it as:

A CT scanner built into your procedure suite

CBCT Clinical Benefits

Where CBCT Makes a Real Difference

Systematic review showed improved 1-year local progression-free survival & 3-year overall survival with CBCT-guided TACE vs conventional guidance

Artificial Intelligence

AI in IR: Smarter Medicine

AI in IR includes machine learning, deep learning (neural networks), and large language models — used across the entire procedural workflow.

BEFORE the procedure

Patient selection, outcome prediction, procedural planning

DURING the procedure

Image enhancement, device tracking, real-time navigation guidance

AFTER the procedure

Complication detection, treatment response evaluation

Most AI tools are decision-support — the doctor is still in charge ✅

AI: Clinical Impact

What Can AI Actually Do in IR?

Predicting Treatment Response

In liver cancer (HCC) treated with TACE:

Combines imaging features + clinical data

AUC of ~0.75–0.85 for predicting response

Helps avoid non-beneficial procedures

Like a data-backed second opinion

Radiation and Image Quality

During the procedure:

AI reduces fluoroscopy radiation dose

Noise suppression improves image clarity

Real-time catheter and device tracking

Less radiation, better images

Extended Reality (XR)

AR, VR & MR: Reality Gets an Upgrade

Extended Reality = a spectrum of technologies that blend real and digital worlds

Virtual Reality (VR)

Fully immersive digital environment — replaces the real world

🎓 Training & simulation — practice procedures without real patients

30–50% reduction in fluoroscopy time during simulated tasks

Augmented Reality (AR)

Digital content overlaid onto the real world in real-time

🎯 Live procedure guidance — overlay vessel maps & needle paths

Accurate target access with holographic needle guidance

Mixed Reality (MR)

Interactive blending of real and digital with spatial awareness

📐 Collaborative 3D planning before complex procedures

Reduces contrast use and imaging requirements

XR: Clinical Benefits

XR in Practice: Training to Theatre

TRAINING

VR simulators improve technical performance vs conventional training — most useful for early trainees

30–50% less fluoroscopy time in simulated tasks

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PROCEDURAL GUIDANCE

AR/MR overlays used for vertebroplasty, biopsies, ablations — holographic needle guidance on real patient

Sub-millimetric to low-mm targeting accuracy in phantom studies

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RADIATION REDUCTION

XR-guided spine/percutaneous procedures → meaningful reduction in fluoroscopy dose

Some series: ~50% dose reduction vs conventional workflows

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Robotics in IR

Robots in the Angiography Suite

Robotic systems translate joystick/console inputs into precise millimetric movements of guidewires and catheters — operator works from a shielded control station.

Endovascular Robots

Remote manipulation of guidewires & catheters

Used in: cerebral aneurysm embolisation, peripheral arterial disease, complex aortic repair

Primary effectiveness >90% in neurovascular trials

Percutaneous Robots

CT/MRI/ultrasound-guided needle placement

Standardises insertion angles & depths

Sub-millimetric targeting accuracy in phantom studies

Robotics: Key Benefits

Why Use Robots? Safety, Precision & Beyond

Radiation Protection

Operators work from a shielded remote workstation — drastically cutting their radiation dose during complex procedures.

80–90% reduction in operator radiation dose vs conventional techniques

Ergonomics & Health

Reduces musculoskeletal strain from prolonged procedure positions. Addresses a well-known occupational hazard in IR.

Improved operator comfort & reduced physical fatigue

Remote & Tele-Intervention

Experimental remote procedures over secure networks — could bring specialist IR care to remote or underserved regions.

Technical feasibility demonstrated — regulatory challenges remain

Patient radiation exposure: comparable to or modestly reduced vs conventional approaches when optimised

Challenges & Costs

Innovation Comes at a Price

CBCT Systems

💰 Mid-6 to low-7 figure range (hardware + suite build-out)

May be offset by fewer repeat procedures & shorter hospital stays in high-volume centres

AI Tools

💰 Varies — software licensing, infrastructure

Limited IR-specific economic data; workflow integration & validation still needed

XR Hardware

💰 Several thousand to low 5-figure USD

Lack of standardisation, ergonomic limitations, infection control considerations

Robotic Systems

💰 High 6-figure range + ongoing maintenance

Limited haptic feedback, device compatibility issues, small number of centres currently using

⚖️ Well-resourced vs resource-limited settings — risk of widening healthcare inequity

🔮 As volumes increase & competition grows → costs expected to fall over time

Ethics

With Great Technology Comes Great Responsibility

Data Privacy

Patient imaging data used to train AI must be protected — de-identified data still carries re-identification risk

Algorithmic Bias

AI trained on non-diverse datasets may underperform in certain populations — could worsen health inequities

Transparency

Doctors must understand how AI recommendations are generated — black box models are problematic

Accountability

The interventional radiologist retains ultimate responsibility — AI is a tool, not the doctor

Informed Consent

Patients should know when advanced technologies guide their procedures

Equity & Access

Advanced tech risks widening gaps between well-resourced and resource-limited healthcare systems

Key principle: AI/XR/Robotics = Decision SUPPORT tools under human oversight — not autonomous operators

The Future of IR

Convergence: When All Technologies Work Together

The next phase of IR combines CBCT, AI, XR and Robotics into unified procedural systems

AI modules for path planning and real-time optimisation built into robotic control systems

XR overlays delivering live 3D anatomy into the operator's field during robotic procedures

Tele-interventional hubs enabling remote specialist procedures in underserved regions

Ultra-low-dose protocols to expand access in resource-limited settings

Multicentre trials, standardised reporting, cost-effectiveness analyses, and robust ethical governance

Summary

Key Takeaways for Medical Students

1

IR is minimally invasive medicine guided by imaging

Fewer complications, shorter stays, faster recovery than open surgery

2

CBCT gives real-time 3D vision inside the procedure room

Improves accuracy for liver, bone, vascular, and spinal interventions

3

AI supports decisions — it does not replace the doctor

Predicts outcomes, improves images, and automates documentation

4

XR trains the next generation and guides complex cases

VR for simulation, AR/MR for live holographic guidance

5

Robotics protects operators and expands what is possible

80–90% less radiation for the operator; future potential for remote care

The future: CBCT + AI + XR + Robotics = safer, smarter, more accessible interventional care

Thank You

Questions & Discussion

Technological Advances in Interventional Radiology

Based on: Modern IR Advances — Narrative Review, 2025

CBCT & Imaging • Artificial Intelligence • Extended Reality • Robotics