Can artificial intelligence make lung cancer staging more accurate?

NCT ID NCT06540196

Recruiting now Diagnosis Sponsor: McMaster University Source: ClinicalTrials.gov ↗

First seen Jul 30, 2026 · Last updated Jul 31, 2026 · Updated 1 time

Summary

This trial tests an artificial intelligence platform called NodeAI that analyzes ultrasound images in real time during a lung cancer staging procedure. The goal is to see if the AI can predict whether lymph nodes contain cancer more accurately than a surgeon's visual assessment. About 600 adults with suspected or confirmed non-small cell lung cancer will take part. If the AI works well, it could help doctors make better treatment decisions and reduce the need for repeat procedures.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance: an artificial intelligence software called NodeAI that analyzes ultrasound images during a lung cancer staging procedure
What this could lead to: If successful, NodeAI could make lung cancer staging faster and more accurate, helping doctors choose the right treatment sooner.
What could go wrong: This is an early feasibility trial, so the AI may not yet be reliable enough for routine use. The technology must prove it can match or beat the skill of experienced surgeons.

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Conditions

The condition(s) this trial relates to.

lung cancer lung neoplasm non-small cell lung carcinoma

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

LUNG CANCER NON-SMALL CELL LUNG CANCER

Contacts and locations

Locations

St. Joseph's Healthcare Hamilton
RECRUITING

Hamilton, Ontario, L8N 4A6, Canada

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