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Construction and Validation of a Multimodal Imaging and Machine Learning–Based Prognostic Prediction Model for Aneurysmal Subarachnoid Hemorrhage: A Multicenter Retrospective Cohort Study (TRIPOD-AI Compliant)

2026-05-25

Abstract excerpt

<title>Abstract</title> <p> <bold>Background and Objective</bold> Aneurysmal subarachnoid hemorrhage (aSAH) carries a 30-day mortality of 30–50%, yet current clinical grading scales achieve area under the receiver operating characteristic curve (AUC) values of only 0.70–0.78 for outcome prediction. We aimed to construct and externally validate a multimodal imaging and machine learning (ML)–based prognostic mode...

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Literature Corpus work: 8aba9e7d-ee5e-5efd-af55-6060ce7c4830
DOI: 10.21203/rs.3.rs-9283012/v1

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Construction and Validation of a Multimodal Imaging and Machine Learning–Based Prognostic Prediction Model for Aneurysmal Subarachnoid Hemorrhage: A Multicenter Retrospective Cohort Study (TRIPOD-AI Compliant)DOI 10.21203/rs.3.rs-9283012/v1Read

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