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Yahui Huang

Biographic Data

ID7294896
NAMEYahui Huang
GIVEN NAMESYahui
FAMILY NAMEHuang
SIGNATUREHUANG Y
AFFILIATIONSThe Fourth People's Hospital
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Intelligent anatomy of spinal tuberculosis

    Open Access•Sen Mo, Chong Liu et al.•ARTICLE•Critical Public Health•2026

    Objective To solve the problems of insufficient model generalization ability and unclear influence of anatomical regional differences in the intelligent diagnosis of spinal tuberculosis, and to construct a multi-center CT deep learning model.Method This study adopted a retrospective multi-center design and collected CT images of 1025 patients with spinal tuberculosis from 4 hospitals in the southwest region from 2012 to 2024. In the preprocessing…

  • Plasma exosomes proteome profiling discovers protein markers associated with the therapeutic effect of Chaihu-Longgu-Muli decoction on temporal lobe epilepsy

    Open Access•Ping Yang, Yahui Huang et al.•ARTICLE•Journal of Ethnopharmacology•2024

No prominent works on this page.

  • Plasma exosomes proteome profiling discovers protein markers associated with the therapeutic effect of Chaihu-Longgu-Muli decoction on temporal lobe epilepsy

    Open Access•Ping Yang, Yahui Huang et al.•ARTICLE•Journal of Ethnopharmacology•2024

  • Intelligent anatomy of spinal tuberculosis

    Open Access•Sen Mo, Chong Liu et al.•ARTICLE•Critical Public Health•2026

    Objective To solve the problems of insufficient model generalization ability and unclear influence of anatomical regional differences in the intelligent diagnosis of spinal tuberculosis, and to construct a multi-center CT deep learning model.Method This study adopted a retrospective multi-center design and collected CT images of 1025 patients with spinal tuberculosis from 4 hospitals in the southwest region from 2012 to 2024. In the preprocessing…

Biochemistry (1 work) · Bioinformatics (1 work) · Biology (1 work) · Computed tomography (1 work) · COVID-19 diagnosis using AI (1 work) · Decoction (1 work) · Deep learning (1 work) · Deep neural networks (1 work) · Dentate gyrus (1 work) · Epilepsy (1 work)

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