AI-driven text simplification significantly improves cancer patients' comprehension of CT scan reports.
Key Details
- 1Prospective controlled trial at TUM included 200 cancer patients undergoing CT imaging.
- 2Half received original reports; half got AI-simplified versions using a local large language model.
- 3Patients with simplified reports had reduced reading time (from 7 to 2 minutes).
- 4Comprehension ratings: 81% found simplified reports easy to read versus 17% with originals; 80% easier to understand (vs 9%).
- 5Incidence of AI factual errors was 6%; omissions 7%; additions 3%, but all reports were reviewed and corrected by radiologists.
- 6Study published in 'Radiology' (DOI: 10.1148/radiol.251844).
Why It Matters

Source
EurekAlert
Related News

AI Outperforms Radiologists in Pancreatic Cancer Detection on CT Scans
An international study finds that AI surpasses average radiologists in detecting pancreatic cancer on CT scans using a newly developed benchmark and dataset.

AI Decision Support Proves Helpful, Yet Contentious, in Emergency Medicine
Researchers found that AI-driven decision support improved correct decision rates among emergency care doctors, but physician acceptance of AI recommendations remains split.

Machine Learning and 3D Imaging Reveal Magma Dynamics Beneath Santorini
Researchers used machine learning and 3D imaging to map the cause of Santorini's 2025 seismic unrest, revealing dynamic magma dike activity.