Digital assistants for complex tumor ablations

AI-powered simulation for peri-operative assistance in complex ablations to improve tumor coverage and reduce recurrence.

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Introducing AI4Deep

AI-powered 3D simulation for electroporation procedures

AI4Deep
Pre-operative planning visualization

Pre-operative planning

Build patient-specific digital twins from medical imaging to simulate needle placement and electric field distribution.

Intra-operative assistance visualization

Intra-operative assistance

Visualization and estimate of tumor coverage during intervention to adjust needle positions and maximize coverage.

Research Only
AI4DeepLab
Surgical training platform

Surgical training

Educational platform to train on patient-specific electroporation simulations and master needle placement strategies.

Available in 2026

Developed in collaboration with leading research institutions

French National Institute for Research in Digital Science and Technology
French National Center for Scientific Research
Assistance Publique - Hôpitaux de Paris
Leading European Cancer Center
University Hospital Center of Poitiers
French National Institute for Research in Digital Science and Technology
French National Center for Scientific Research
Assistance Publique - Hôpitaux de Paris
Leading European Cancer Center
University Hospital Center of Poitiers

How It Works

Peri-operative assistance for complex tumor ablations

AI4Deep

Elaborate needle placement strategies before the intervention

Input
1

Get patient imaging

Upload patient CT or MRI scans

Processing
2

Run simulation

Build 3D digital twin

Output
3

Plan treatment

Try different needle placement strategies

Clinical Impact

Improving outcomes through simulation-assisted intervention

Incomplete Coverage
Incomplete tumor coverage without AI4Deep

Without AI4Deep

  • Few tools available for planning ahead of the procedure
  • No visualisation of dose when initiating treatment
  • ~40% recurrence rate within 2 years if tumor coverage is <95%1
Complete Coverage
Complete tumor coverage with AI4Deep

With AI4Deep

  • Patient-specific digital twin
  • Visualisation of the electrical field distribution
  • Reliable estimation of tumor coverage

References

  • [1] Sutter O., et al. “Towards Perioperative, Numerically-Assisted Irreversible Electroporation for Hepatocellular Carcinoma: Clinical Outcomes Informed by Numerical Simulations” (2025).DOI: 10.1007/s00330-025-12223-7
  • Presented at World Congress of Electroporation 2024, Rome, Italy
  • Presented at Journées Françaises de Radiologie 2024, Paris, France

Founding team

Product development, science, clinical, and business expertise

Luc Lafitte

Luc Lafitte

CTO

Research engineer @ INRIA

AI4Deep lead developer

Simon Revelly

Simon Revelly

CEO

Ex-head of Product @ Pollen Robotics

Medtech Product, Marketing & Sales

Dr. Clair Poignard

Dr. Clair Poignard

Scientific director

Research director @ INRIA

AI4Deep co-creator

Dr. Baudouin de Senneville

Dr. Baudouin de Senneville

Head of AI

Research director @ CNRS

AI4Deep co-creator

Pr. Olivier Seror, MD

Pr. Olivier Seror, MD

Medical advisor

Head of Interventional Radiology @ Hôpital Avicenne, APHP

AI4Deep co-creator

Dr. Olivier Sutter, MD

Dr. Olivier Sutter, MD

Medical advisor

Interventional Radiologist @ Hôpital Avicenne, APHP

AI4Deep co-creator

Get in Touch

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