AI Model Integrating Imaging and Clinical Data for Predicting CSF Diversion in Neonatal Hydrocephalus: A Preliminary Study.

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Bibliographic Details
Title: AI Model Integrating Imaging and Clinical Data for Predicting CSF Diversion in Neonatal Hydrocephalus: A Preliminary Study.
Authors: Dai Y; Department of Neurology, Second Xiangya Hospital of Central South University, Changsha, Hunan, China.; Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, Maryland, USA., Zhong Z; Department of Diagnostic Imaging, Brown University Health, Providence, Rhode Island, USA., Qin Y; Department of Radiology, Xiangya Hospital of Central South University, Changsha, Hunan, China.; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China., Wang Y; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, USA., Yu G; Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, Maryland, USA., Kobets A; Department of Neurosurgery, Montefiore Medical Center and the Albert Einstein College of Medicine, New York, USA., Swenson DW; Department of Diagnostic Imaging, Brown University Health, Providence, Rhode Island, USA., Boxerman JL; Department of Diagnostic Imaging, Brown University Health, Providence, Rhode Island, USA., Li G; Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA., Robinson S; Department of Neurosurgery, Johns Hopkins University, Baltimore, Maryland, USA., Bai H; Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, Maryland, USA., Yang L; Department of Neurology, Second Xiangya Hospital of Central South University, Changsha, Hunan, China., Liao W; Department of Radiology, Xiangya Hospital of Central South University, Changsha, Hunan, China.; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China.; National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Xiangya Hospital of Central South University, Changsha, China., Jiao Z; Department of Diagnostic Imaging, Brown University Health, Providence, Rhode Island, USA.
Source: Human brain mapping [Hum Brain Mapp] 2025 Oct 01; Vol. 46 (14), pp. e70363.
Publication Type: Journal Article
Journal Info: Publisher: Wiley Country of Publication: United States NLM ID: 9419065 Publication Model: Print Cited Medium: Internet ISSN: 1097-0193 (Electronic) Linking ISSN: 10659471 NLM ISO Abbreviation: Hum Brain Mapp Subsets: MEDLINE
Database: MEDLINE Ultimate
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