A systematic review of artificial intelligence in radiotherapy associated cardiovascular toxicity
Vivian Salama, Brandon M Godinich, Nathaniel Dunham, Troy Nguyen, Sijin Wen, Joseph A Schmidlen, Wesley Cox, Peyton M Lilly, Jeffrey Ryckman, Ramon Alfredo Siochi, Ashkan Emadi, Christopher M Bianco, George G Sokos, Raymond R Raylman, David A Clump, Mina F Hanna, Phillip M Pifer · 2026
Read A systematic review of artificial intelligence in radiotherapy associated cardiovascular toxicity by Vivian Salama, Brandon M Godinich, Nathaniel Dunham, Troy Nguyen, Sijin Wen, Joseph A Schmidlen, Wesley Cox, Peyton M Lilly, Jeffrey Ryckman, Ramon Alfredo Siochi, Ashkan Emadi, Christopher M Bianco, George G Sokos, Raymond R Raylman, David A Clump, Mina F Hanna, Phillip M Pifer (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13543590.txt.
Description
Vivian Salama and colleagues published a 2026 systematic review of artificial intelligence for predicting and imaging heart damage caused by radiotherapy. Radiation to the chest can injure the heart years later, and AI promises earlier warnings. Searching four databases to October 2025, the reviewers included sixty-five human studies and graded prediction work and imaging work with separate quality frameworks, pooling performance figures where that was defensible.
Thirty-one studies built risk predictors and thirty-four worked on cardiac imaging; deep learning dominated both. Predictive models reached a median accuracy measure of 0.82, and imaging models traced large heart structures well, though coronary arteries stayed hard to segment. The weaknesses were glaring: only a tenth of prediction studies checked calibration, a fifth validated externally, and most studies in both camps carried high risk of bias. Promise is real, the authors conclude, but clinical readiness is not.
Catalog record
| CREATOR | Vivian Salama, Brandon M Godinich, Nathaniel Dunham, Troy Nguyen, Sijin Wen, Joseph A Schmidlen, Wesley Cox, Peyton M Lilly, Jeffrey Ryckman, Ramon Alfredo Siochi, Ashkan Emadi, Christopher M Bianco, George G Sokos, Raymond R Raylman, David A Clump, Mina F Hanna, Phillip M Pifer |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 47041 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |