Medical software InferOperate®

surgerysurgicalclinical

Overview
Assists thoracic surgical teams in preoperative planning for lung cancer by providing fast, fully automated 3D reconstruction and high‑precision anatomical segmentation within minutes. Provides access to 3D models throughout the surgical pathway — from planning to intraoperative reference — with deployment options for on‑premise and cloud environments and surgeon‑oriented tools integrated into clinical workflows.

Key capabilities

• Automated whole‑lung 3D reconstruction and segmentation (lungs, lobes, lung segments).
• Reconstruction and segmentation of thoracic structures: bronchial tree, pulmonary arteries, pulmonary veins, bones and body surface.
• Rapid processing delivering automated segmentation and 3D model generation within minutes.
• Visualization for preoperative planning and intraoperative reference; supports VR/immersive visualization workflows.
• Simulation tools to model and compare surgical strategies to support decision‑making and patient safety.
• Flexible deployment supporting on‑premise and cloud integration into clinical IT environments.

Clinical validation & evidence
Evidence includes the MRMC clinical trial in thoracic surgery validating the clinical value of InferVision’s AI‑based 3D reconstruction for preoperative identification of anatomical variations, surgical approach selection, planning efficiency, and surgeon confidence. Reported cases include changes in surgical decisions informed by 3D reconstructions.

Regulatory & standards
Regulatory clearances/marks indicated on product page: FDA, UKCA and NMPA.

Preoperative planning applicable procedures

• Pneumonectomy (unilateral lung)
• Lobectomy
• Segmentectomy
• Subsegmentectomy
• Wedge resection

Clinical workflow & integration
Seamless integration into clinical workflows with intuitive, surgeon‑focused tools. Enables access to validated 3D models across the surgical journey (preoperative planning to intraoperative visualization) and supports simulation of surgical strategies to improve anatomical clarity and planning confidence.

Users & use cases
Designed for thoracic surgeons and surgical teams planning lung cancer resections where automated segmentation, detection of anatomical variants and 3D visualization support decision‑making, surgical strategy comparison and planning efficiency.

Technical specifications

• Automated segmentation types: whole‑lung, lobar and segmental segmentation.
• Reconstructed anatomical structures: bronchial tree, pulmonary arteries, pulmonary veins, bones, body surface.
• 3D model output: fully automated reconstructions available within minutes for planning and intraoperative use.
• Deployment: on‑premise and cloud‑supported options.
• Clinical validation: MRMC clinical trial evidence for preoperative anatomical variation identification and planning benefits.
• Applicable procedures: pneumonectomy, lobectomy, segmentectomy, subsegmentectomy, wedge resection.
• Regulatory marks: FDA, UKCA, NMPA (as indicated on product page).
• Visualization support: VR and intraoperative visualization workflows supported.