Causally-informed deep learning towards explainable and generalizable outcome prediction in critical care.

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Bibliographic Details
Title: Causally-informed deep learning towards explainable and generalizable outcome prediction in critical care.
Authors: Cheng Y; Department of Automation, Tsinghua University, Beijing, China., Song X; Department of Automation, Tsinghua University, Beijing, China., Wang Z; Department of Automation, Tsinghua University, Beijing, China., Zhong Q; Chinese PLA General Hospital, Beijing, China., He K; Chinese PLA General Hospital, Beijing, China. Electronic address: kunlunhe@plagh.org., Suo J; Department of Automation, Tsinghua University, Beijing, China; Institute of Brain and Cognitive Sciences, Tsinghua University, Beijing, China. Electronic address: jlsuo@tsinghua.edu.cn.
Source: Artificial intelligence in medicine [Artif Intell Med] 2026 Jun 22; Vol. 180, pp. 103478. Date of Electronic Publication: 2026 Jun 22.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Science Publishing Country of Publication: Netherlands NLM ID: 8915031 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-2860 (Electronic) Linking ISSN: 09333657 NLM ISO Abbreviation: Artif Intell Med Subsets: MEDLINE
Database: MEDLINE Ultimate
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