The foundation

Research

The science behind Angio is published and real. AI can segment vessels and perforators from CT angiography.

Preoperative CTA is linked to shorter operative times and fewer flap losses. What is missing is a tool surgeons use in workflow, trained on data that ties imaging to outcomes. That is what we build.

Then, per flap type, we extend it.

Citations

  1. Keunecke C.E.R. et al. From Imaging to Implementation: CT-Based Surgical AI Using DIEP Flap Reconstruction as a Model System

    Surgeries, 2026

  2. Andrade M. et al. AI-based planning for DIEAP flap procedures: foundation models for artery perforator analysis

    Frontiers in Medicine, 2026

  3. Saxena E. Deep Learning for Personalized Preoperative Planning of Microsurgical Free Tissue Transfers

    AAAI-22, 2022

  4. Tetteh G. et al. DeepVesselNet: Vessel Segmentation, Centerline Prediction, and Bifurcation Detection in 3-D Angiographic Volumes

    Frontiers in Neuroscience, 2020

  5. Wasserthal J. et al. TotalSegmentator: Robust Segmentation of Anatomic Structures in CT Images

    Radiology: AI, 2023

  6. Preoperative CTA and outcomes in autologous breast reconstruction: systematic review & meta-analysis

    Frontiers in Oncology, 2025