Review
Open Access

Artificial intelligence in pathomics optimizes end-to-end clinical workflow in glioma

HE Linqian
HE Linqian
Department of Clinical Pathology, The First Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310000, Zhejiang, China
,
LIU Huan
LIU Huan
Department of Clinical Pathology, The First Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310000, Zhejiang, China
,
ZHANG Jing
ZHANG Jing
jzhang1961@zju.edu.cn
Department of Clinical Pathology, The First Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310000, Zhejiang, China
,
ZHANG Xiuming
ZHANG Xiuming
1508056@zju.edu.cn
Department of Clinical Pathology, The First Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310000, Zhejiang, China
Author information
Article notes

HE Linqian, M.S. E-mail: 22218690@zju.edu.cn

Corresponding authors, ZHANG Jing, E-mail: jzhang1961@zju.edu.cn; ZHANG Xiuming, E-mail: 1508056@zju.edu.cn

Received March 16, 2025; Accepted March 27, 2025; Published March 30, 2025
Review
Open Access
Artificial intelligence in pathomics optimizes end-to-end clinical workflow in glioma
HE Linqian
HE Linqian
Department of Clinical Pathology, The First Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310000, Zhejiang, China
,
LIU Huan
LIU Huan
Department of Clinical Pathology, The First Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310000, Zhejiang, China
,
ZHANG Jing
ZHANG Jing
jzhang1961@zju.edu.cn
Department of Clinical Pathology, The First Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310000, Zhejiang, China
,
ZHANG Xiuming
ZHANG Xiuming
1508056@zju.edu.cn
Department of Clinical Pathology, The First Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310000, Zhejiang, China
Author information

HE Linqian, M.S. E-mail: 22218690@zju.edu.cn

Corresponding authors, ZHANG Jing, E-mail: jzhang1961@zju.edu.cn; ZHANG Xiuming, E-mail: 1508056@zju.edu.cn

Article notes
Received March 16, 2025; Accepted March 27, 2025; Published March 30, 2025
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Abstract

Artificial intelligence (AI) is increasingly utilized in precision medicine, with notable applications observed in neuropathology. In glioma diagnostics, histological classification, molecular subtyping, and WHO grading are automated by AI-based platforms, enhancing diagnostic consistency and operational efficiency. Critically, AI predicts prognosis, assesses survival and recurrence risks, and guides personalized treatment strategies. As issues like data silos and “black-box” algorithms are resolved, AI is poised to support decision-making by pathologists and clinicians throughout the clinical workflow of glioma management.


Key Words: glioma; artificial intelligence; neural networks; prognosis

Metaverse in Medicine

ISSN: 3006-4236

Volume 2, Issue 1

March 2025

Pages: 1-64

PDF CITE Accesses: 156
Metaverse in Medicine
ISSN: 3006-4236
ZENTIME PUBLISHING CORPORATION LIMITED
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CITE
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Abstract