Deep‐Learning Model for Central Nervous System Infection Diagnosis and Prognosis Using Label‐Free 3D Immune‐Cell Morphology in the Cerebrospinal Fluid

Deep‐Learning Model for Central Nervous System Infection Diagnosis and Prognosis Using Label‐Free 3D Immune‐Cell Morphology in the Cerebrospinal Fluid

Early diagnosis and prognostication of a central nervous system (CNS) infection is essential. This study aims to use immune‐cell morphology to develop a deep‐learning model for this purpose. Overall, 1427 3D images of cerebrospinal fluid (CSF) immune cells from 14 patients with CNS infections are ob...

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Bibliographic Details
Main Authors: Bo Kyu Choi, Ho Heon Yang, Jong Hyun Kim, JaeSeong Hong, Kyung Min Kim, Yu Rang Park
Format: Article
Language:English
Published: Wiley 2025-06-01
Series:Advanced Intelligent Systems
Subjects:
artificial intelligence
deep learning
encephalitis
holotomography
meningitis
neuroinflammation
Online Access:https://doi.org/10.1002/aisy.202401145
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https://doi.org/10.1002/aisy.202401145

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