Crossmark

From prediction to practice: an artificial neural network-derived risk score superior to conventional scales for predicting symptomatic intracranial haemorrhage risk after thrombolysis

Crossref DOI link: https://doi.org/10.1007/s10072-026-09022-3

Published Online: 2026-04-18

Published Print: 2026-05

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Dong, Huihui https://orcid.org/0009-0000-0458-9105
Dong, Zhongge

Fu, Lin
License Information

Text and Data Mining valid from 2026-04-18

Version of Record valid from 2026-04-18
More Information

Article History

Received: 7 October 2025

Accepted: 31 March 2026

First Online: 18 April 2026

Change Date: 28 April 2026

Change Type: Update

Change Details: The original version of this paper has been updated to correct the affiliation of the second author.

Declarations

:

: This study was approved by the Ethics Review Committee of Harbin First Hospital.The ethics approval protocol number has been added,the protocol number is AF/KY-05/01.0,approval number: Q2024-122.The requirement for written informed consent was waived due to its retrospective design.

: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

: The data that support the findings of this study are available from the corresponding author upon reasonable request, subject to ethical restrictions.

Document is current

Any future updates will be listed below