AI Model Discovers Hidden Health Issues in CT Scans
In brief
- A new artificial intelligence model called Percival, developed at Penn Medicine, can detect hidden health issues in CT scans beyond the reason the scan was originally ordered.
- Trained on data from over 350,000 people and nearly 400,000 CT scans, Percival identifies patterns and potential future health risks that might otherwise go unnoticed.
- This technology could revolutionize medical imaging by enabling earlier detection of conditions like cancer.
- The model is still in preclinical testing, but researchers hope it will enhance "opportunistic screening," where scans reveal unexpected health issues.
- By analyzing vast datasets, Percival aims to make CT scans a cornerstone for personalized and proactive healthcare, potentially saving lives through early interventions.
Terms in this brief
- Percival
- An AI model developed at Penn Medicine designed to detect hidden health issues in CT scans beyond their initial purpose. It identifies patterns and potential future health risks, aiming to enhance early detection of conditions like cancer through 'opportunistic screening.'
Read full story at Penn Medicine →
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