AI trained on 144,000 scans to help doctors spot disease
NCT ID NCT04579237
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study uses over 144,000 existing medical images (like CT and MRI scans) to develop computer programs that can help detect and diagnose diseases. Researchers aim to create algorithms that find lesions, model anatomy, and track disease over time. The study includes people of all ages whose scans are stored in the hospital's database.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- What this could lead to
- If successful, this could lead to better computer tools that help doctors spot diseases on scans more quickly and accurately.
- What could go wrong
- This is an early-stage data analysis study, not a treatment trial. The algorithms may not work well in real-world settings or on different types of images.
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.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
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Locations
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National Institutes of Health Clinical Center
Bethesda, Maryland, 20892, United States