Plain-English translation of NCT06632886 on ClinicalTrials.gov ↗ · Source last updated · Translation generated · How we translate trials
This study doesn't follow the usual testing phases — it may be an observational study or a different type of research.
This trial is testing whether artificial intelligence (AI) can help doctors spot seven common types of cancer earlier by analyzing CT scans that people get during routine health checkups. The AI is designed to automatically look for signs of lung, liver, stomach, colon, esophageal, pancreatic, and breast cancers on scans that don't require special dye injections. If the AI spots anything suspicious, you'll be referred to a hospital for more detailed imaging and follow-up to confirm whether cancer is actually present.
Cancer is a major health problem, and catching it early gives patients a much better chance of successful treatment and survival. Right now, many cancers are discovered late, which makes treatment harder and more costly. This trial aims to see if AI can reliably identify cancers at earlier, more treatable stages using scans that people are already getting as part of routine health checks.
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You will have a non-contrast CT scan of your chest or abdomen as part of your routine health examination at one of two health examination centers in China. The AI system will automatically analyze your scan to look for any signs of cancer. If the AI identifies anything suspicious, you'll be referred to Shanghai Changhai Hospital for additional imaging tests (such as contrast-enhanced CT, MRI, or endoscopy) to confirm whether cancer is present and, if needed, to plan treatment. The study will follow your results and any subsequent care you receive.
AI-generated summary from trial data · Jun 4, 2026 · Not medical advice
China