Digital assistants for complex tumor ablations

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

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Introducing AI4Deep

AI-powered 3D simulation for electroporation procedures

Pre-operative planning visualization
AI4Deepplan

Pre-operative Planning

Build patient-specific digital twins from medical imaging to plan electroporation procedures. Simulate needle placement strategies and predict electric field distribution for optimal tumor coverage.

Research OnlyAvailable 2027
Intra-operative assistance visualization
AI4Deepassist

Intra-operative Assistance

Visualization and estimation of tumor coverage during electroporation interventions. Adjust needles position to maximize coverage and reduce recurrence risk.

Research OnlyAvailable 2029

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

Two complementary workflows for peri-operative ablation assistance

AI4Deepplan

Elaborate needle placement strategies before the procedure

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” (Manuscript submitted 2025)
  • Presented at World Congress of Electroporation 2024, Rome, Italy
  • Presented at Journées Françaises de Radiologie 2024, Paris, France

Our team

Product development, science, and business expertise

Founders

Luc Lafitte

Luc Lafitte

CTO

12+ years experience

Research engineer

@ INRIA

AI4Deep lead developer

Simon Revelly

Simon Revelly

CEO

12+ years experience

Ex-head of Product

@ Pollen Robotics (now Hugging Face)

Medtech Marketing & Sales expert

Dr. Clair Poignard

Dr. Clair Poignard

Scientific director

15+ years experience

Research director

@ INRIA

AI4Deep co-creator

Dr. Baudouin de Senneville

Dr. Baudouin de Senneville

Head of AI

15+ years experience

Research director

@ CNRS

AI4Deep co-creator

Medical advisors

Pr. Olivier Seror, MD

Pr. Olivier Seror, MD

Head of Interventional Radiology

Medical Board

Hôpital Avicenne, APHP

AI4Deep co-creator

AIMOKA research team

Dr. Olivier Sutter, MD

Dr. Olivier Sutter, MD

Interventional radiologist

Medical Board

Hôpital Avicenne, APHP

AI4Deep co-creator

AIMOKA research team

Get in Touch

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