AI could spot lung cancer in Non-Smokers with family history

NCT ID NCT06295497

Recruiting now Diagnosis Sponsor: Chinese University of Hong Kong Source: ClinicalTrials.gov ↗

First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study is testing whether an artificial intelligence program can help detect lung cancer early in non-smokers aged 50 to 75 who have a close family member with lung cancer. About 3,000 participants will get a low-dose CT scan of their chest, and the AI will analyze the images for suspicious nodules. If the AI finds a nodule, doctors will follow up to check if it is cancer. The goal is to see if AI can make lung cancer screening practical and accurate for this high-risk group.

What this could mean

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

Active substance: Artificial intelligence software (Lung-SIGHT) to analyze low-dose CT scans
What this could lead to: If successful, this could provide a practical, AI-driven screening method to detect lung cancer early in non-smokers with a family history, potentially saving lives through earlier treatment.
What could go wrong: This is an early feasibility study with no control group, so results may not prove the AI is better than standard care. The AI might miss some cancers or flag too many false alarms, leading to unnecessary procedures.

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

Department of Clinical Oncology, Prince of Wales Hospital
RECRUITING

Hong Kong, Hong Kong

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