First published · Last updated
Deep learning models based on post-procedural angiography for predicting the future risk of in-stent restenosis
Journal article published by Springer Science and Business Media LLC on 2026-06-30 describes deep learning models using post-procedural angiography to predict future risk of in-stent restenosis.
Categories: science-and-space, public-health, technology, positive-progress
Generated scores
Scores are based on the cited reporting and use a 1–10 scale. Read the methodology.
- Confidence
- 6/10
- Geographic reach
- 1/10
- Global importance
- 3/10
- Impact magnitude
- 3/10
- Positivity
- 7/10
- Urgency
- 1/10
Why it matters
The study concerns predicting future risk of in-stent restenosis using deep learning applied to post-procedural angiography.

