Published in: Journal of Magnetic Resonance Imaging (2024)
Cited by: 2
Breakthrough:
This study leverages cerebral perfusion imaging and AI to differentiate high-grade gliomas from metastatic brain tumors, improving diagnostic accuracy.
Key Findings:
AI models improve tumor classification in brain imaging.
Machine learning integrates cerebral blood volume (CBV) and cerebral blood flow (CBF) data.
AI enhances non-invasive diagnosis, reducing unnecessary biopsies.
Impact:
By integrating AI into brain tumor diagnostics, this research contributes to faster, more precise treatment planning for neuro-oncology patients.
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