Crossmark

Validation of an artificial intelligence-based algorithm for predictive performance and risk stratification of sepsis using real-world data from hospitalised patients: a prospective observational study

Crossref DOI link: https://doi.org/10.1136/bmjhci-2024-101353

Published Online: 2025-06-20

Published Print: 2025-06

Update policy: https://doi.org/10.1136/crossmarkpolicy

Authors

Kim, Ji-Hyun https://orcid.org/0000-0003-2701-4317
Lee, KyungHyun https://orcid.org/0000-0002-7010-5284
Kim, Kwang Joon https://orcid.org/0000-0002-5554-8255
Ha, Eun Yeong https://orcid.org/0000-0002-9534-4329
Kim, In-Cheol https://orcid.org/0000-0002-5751-2328
Park, Sun Hyo https://orcid.org/0000-0002-9464-0652
Cho, Chi-Heum https://orcid.org/0000-0002-0437-4099
Yu, Gyeong Im https://orcid.org/0000-0003-1494-3977
Ahn, Byung Eun https://orcid.org/0000-0001-7126-7966
Jeong, Yeeun https://orcid.org/0009-0007-8063-2233
Won, Joo-Yun https://orcid.org/0000-0003-4535-776X
Sim, Taeyong https://orcid.org/0009-0009-7877-5053
Cho, Hochan https://orcid.org/0000-0003-0712-7728
Lee, Ki-Byung https://orcid.org/0000-0001-9106-5528
Funding

Funding for this research was provided by:

Ministry of Health and Welfare, Korea Health Industry Development Institute (N/A)
License Information

License valid from 2025-06-20