Multicenter Privacy‐Preserving Federated Models for Predicting Postoperative Delirium and Acute Kidney Injury in Older Patients

Qian Wang, Yu‐xiang Song, Xiao‐dong Yang, Jing‐wei Zhang, Rui‐zhe Sun, Xiao‐dong Wu, Ao Li, Jing‐sheng Lou, Hao Li, Yan‐hong Liu, Jun‐mei Xu, Di‐fen Wang, Qing‐ping Wu, Yu‐ming Peng, Yi‐qiang Chen, Jiang‐bei Cao, Wei‐dong Mi · 2026

Read Multicenter Privacy‐Preserving Federated Models for Predicting Postoperative Delirium and Acute Kidney Injury in Older Patients by Qian Wang, Yu‐xiang Song, Xiao‐dong Yang, Jing‐wei Zhang, Rui‐zhe Sun, Xiao‐dong Wu, Ao Li, Jing‐sheng Lou, Hao Li, Yan‐hong Liu, Jun‐mei Xu, Di‐fen Wang, Qing‐ping Wu, Yu‐ming Peng, Yi‐qiang Chen, Jiang‐bei Cao, Wei‐dong Mi (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/pmc-13499364.txt.

Description

Qian Wang and a large team of co-authors tested in 2026 whether hospitals can jointly train prediction models for surgery complications without pooling patient records. Delirium and kidney injury after surgery are serious risks for older patients, yet single hospitals hold limited data and privacy rules block sharing. Their simulated federation covered 7,216 patients aged sixty-five and over at five centers, with one center held out as an external check.

Three federated methods matched the accuracy of a centralized model on both outcomes, inside and outside the training group. Local-only models trailed. The authors call federated learning a workable privacy-preserving route for multicenter prediction in older surgical patients. Real deployments, beyond this simulation, remain to be proven.

Catalog record

CREATORQian Wang, Yu‐xiang Song, Xiao‐dong Yang, Jing‐wei Zhang, Rui‐zhe Sun, Xiao‐dong Wu, Ao Li, Jing‐sheng Lou, Hao Li, Yan‐hong Liu, Jun‐mei Xu, Di‐fen Wang, Qing‐ping Wu, Yu‐ming Peng, Yi‐qiang Chen, Jiang‐bei Cao, Wei‐dong Mi
YEAR2026
COLLECTIONPAPERS
FORMATTXT
FILE SIZE58 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC13499364

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