# Machine learning-based prediction of overall survival after lung SBRT using clinical, dosimetric, and radiomics features: a multicenter study

Source: [Medical research : nature.com subject feeds](https://www.nature.com/articles/s41598-026-77575-6) · 2026-11-13 · Medicine
Page: https://themorning.science/story/machine-learning-based-prediction-of-overall-survival-after-lung-sbrt-using-clin-5089f46a679c62a7
Kind: research · Impact: low

## In brief

- A multicenter study describes machine learning models that predict overall survival after lung stereotactic body radiotherapy (SBRT).
- The models use clinical, dosimetric, and radiomics features.
- The source provided no summary, so further results are not available from the sources.

## Why it matters

Survival prediction after lung SBRT could help radiation oncologists compare patient risk using clinical, dose and imaging data, though the sources give no performance figures.

## Coverage

- [Machine learning-based prediction of overall survival after lung SBRT using clinical, dosimetric, and radiomics features: a multicenter study](https://www.nature.com/articles/s41598-026-77575-6) — Medical research : nature.com subject feeds, 2026-11-13

Tags: machine learning, radiomics, lung cancer, stereotactic radiotherapy, survival prediction

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Brief generated by AI (claude-haiku-5-5) from the reporting listed under Coverage. Headlines belong to their publishers. The Morning Science – https://themorning.science