Laser and AI team up to spot lung cancer in minutes during surgery

NCT ID NCT07681245

Recruiting now Diagnosis Sponsor: Shanghai Chest Hospital Source: ClinicalTrials.gov ↗

First seen Jul 02, 2026 · Last updated Jul 08, 2026 · Updated 2 times

Summary

This trial investigates whether a femtosecond laser combined with an artificial intelligence model can diagnose lung cancer from fresh tissue samples as accurately as the standard frozen section method. About 294 adults scheduled for lung surgery will have their tumor specimens examined both ways, and results will be compared to the final lab analysis. If the laser-AI approach proves non-inferior, it could offer a faster, label-free diagnostic option during surgery.

What this could mean

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

Active substance: femtosecond laser imaging with artificial intelligence
What this could lead to: If successful, this could provide a faster, non-destructive way to diagnose lung cancer during surgery, reducing wait times for patients.
What could go wrong: This is an early-stage comparison study; the AI may not match the accuracy of standard pathology, and results are not yet used to guide treatment decisions.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

lung cancer lung neoplasm

As listed by the trial registrant

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

LUNG CANCER

Contacts and locations

Locations

Dongfang Hospital
NOT_YET_RECRUITING

Shanghai, Shanghai Municipality, 200030, China
Huadong Hospital
NOT_YET_RECRUITING

Shanghai, Shanghai Municipality, 200030, China
Shanghai Chest Hospital
RECRUITING

Shanghai, Shanghai Municipality, 200030, China
Tongji Hospital
NOT_YET_RECRUITING

Shanghai, Shanghai Municipality, 200030, China
Tongren Hospital
NOT_YET_RECRUITING

Shanghai, Shanghai Municipality, 200030, China

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