Prospective and external evaluation of an AI model for continuous and early prediction of moderate and severe AKI in critically ill patients
Francesca Alfieri, Simone Zappalà, Alessandro Bacci, Valentina Cauda, Marco Basso, Gaia Musso, Luca Cochelli, Carmine Domenico Votta, Laura Mariconti, Laura Maderna, Gianluca Russo, Josep Gomez, Federico Esteban-Reboll, Mari Carmen Gilavert Cuevas, Maria Bodì, Stefano Finazzi, Kianoush Kashani, Andrea Ancona · 2026
Read Prospective and external evaluation of an AI model for continuous and early prediction of moderate and severe AKI in critically ill patients by Francesca Alfieri, Simone Zappalà, Alessandro Bacci, Valentina Cauda, Marco Basso, Gaia Musso, Luca Cochelli, Carmine Domenico Votta, Laura Mariconti, Laura Maderna, Gianluca Russo, Josep Gomez, Federico Esteban-Reboll, Mari Carmen Gilavert Cuevas, Maria Bodì, Stefano Finazzi, Kianoush Kashani, Andrea Ancona (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/PMC13253924.txt.
Description
Francesca Alfieri and many colleagues test an AI model that warns of kidney injury in a 2026 study. Acute kidney injury is a sudden loss of kidney function common in intensive care. Their model gives hourly risk scores for moderate and severe injury, and was upgraded to cope with missing data.
Past records covered 70,107 ICU admissions in three countries across 176 units, with strong scores above 0.89 on a key accuracy measure. A live test in three European hospitals with 329 patients scored from 0.82 to 0.96. Warnings came about 14 hours early on average, which the authors say could aid care.
Catalog record
| CREATOR | Francesca Alfieri, Simone Zappalà, Alessandro Bacci, Valentina Cauda, Marco Basso, Gaia Musso, Luca Cochelli, Carmine Domenico Votta, Laura Mariconti, Laura Maderna, Gianluca Russo, Josep Gomez, Federico Esteban-Reboll, Mari Carmen Gilavert Cuevas, Maria Bodì, Stefano Finazzi, Kianoush Kashani, Andrea Ancona |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 45219 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |