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Updated: Jul 13, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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开拓新领域:人工智能和机器学习可以改变乳头质神经元瘤诊断吗?

Hanzala Ahmed Farooqi1, Rayyan Nabi2,3, Tabeer Zahid4

  • 1Islamic International Medical College, Rawalpindi, Pakistan.

Neurosurgical review
|June 6, 2024
PubMed
概括

乳头质神经元瘤 (PGNTs) 是一种罕见的脑瘤,难以诊断. 这项研究强调了它们的成像功能,并探讨了人工智能 (AI) 如何提高诊断准确度.

关键词:
人工智能 (AI) 是一种人工智能.大脑瘤的诊断 脑瘤的诊断机器学习 (ML) 是指机器学习.乳头质神经神经元瘤 (PGNT)

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Brain Imaging01:14

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).