Augmenting Beyond.

Real-time AI decision support for EBUS-TBNA. NodeAI is designed to help clinicians stage lung cancer with more speed and clarity, regardless of experience.

See How it Works

A medical team performs an Endobronchial ultrasound on a patient in an operating room, with two monitors displaying ultrasound images

Clinicians rely on expertise that isn't always available in the room.

Lung cancer is the leading cause of cancer-related death worldwide. EBUS-TBNA is the gold standard for staging but it's expertise-dependent. When the expertise isn't present, patients pay the price.

Bringing Expert-Level Staging into Every Procedure Room.

NodeAI brings real-time AI to the EBUS procedures you already perform. Our plug-in hardware installs without disrupting your workflow, delivering bedside support for lymph node detection, station identification, and malignancy prediction.

Medical team performing an Endobronchial ultrasound augmented with NodeAI on a patient in an operating room, with one doctor pointing at the ultrasound monitor showing imaging results.

Research & Clinical Evidence

Nine years of peer-reviewed research.
One breakthrough platform.

NodeAI is built on nearly a decade of published research in lung cancer staging, advanced through multi-centre clinical trials and powered by one of the largest proprietary EBUS datasets in the world.

3.2M+

Proprietary ultrasound images & videos paired to pathology

6 +9 pending

Active multi-centre clinical trial sites, with 9 more in activation

10+

Peer-reviewed publications in leading journals

Featured Publications

2024 Respiration

Artificial Intelligence Algorithm Can Predict Lymph Node Malignancy from EBUS-TBNA Images for Non-Small Cell Lung Cancer

Patel YS, Gatti AA, Farrokhyar F, Xie F, Hanna WC

2024 JTCVS Techniques

Clinical Utility of AI-Augmented Endobronchial Ultrasound Elastography in Lymph Node Staging for Lung Cancer

Patel YS, Gatti AA, Farrokhyar F, Xie F, Hanna WC

2023 J Thoracic & Cardiovascular Surgery

Preoperative Mediastinal Staging in Early-Stage Lung Cancer: Targeted Nodal Sampling is Not Inferior to Systematic Nodal Sampling

Sullivan KA, Farrokhyar F, Patel YS, Liberman M, Turner SR et al.

Explore the full research evidence base — milestones, publications, and active clinical trial sites.

“This is the future of EBUS and I want to be a part of it.”

— Professor Kazuhiro Yasufuku,

Thoracic Surgeon and Co-developer of EBUS-TBNA

“There is finally innovation going on in EBUS! Advanced AI diagnostics using the NodeAI system is helping make EBUS safer, more efficient, and increasing diagnostic yield.”

— Professor Moishe Liberman,

Director of the CHUM Endoscopic Tracheobronchial and Oesophageal Center (C.E.T.O.C.)

Supported by an Innovation Ecosystem

Contact us

Whether you have a question, an idea, or just want to say hello, feel free to reach out.