Artificial Intelligence as A Complementary Tool for Clincal Decision-Making in Stroke and Epilepsy

SP Shah, JD Heiss - Brain Sciences, 2024 - mdpi.com
Neurology is a quickly evolving specialty that requires clinicians to make precise and prompt
diagnoses and clinical decisions based on the latest evidence-based medicine practices. In …

A scoping review of magnetic resonance angiography and perfusion image synthesis

R Lamontagne-Caron, S Duchesne - Frontiers in Dementia, 2024 - frontiersin.org
Introduction Deregulation of the cerebrovascular system has been linked to
neurodegeneration, part of a putative causal pathway into etiologies such as Alzheimer's …

[HTML][HTML] Perfusion parameter map generation from TOF-MRA in stroke using generative adversarial networks

F Lohrke, VI Madai, T Kossen, OU Aydin, J Behland… - NeuroImage, 2024 - Elsevier
Purpose To generate perfusion parameter maps from Time-of-flight magnetic resonance
angiography (TOF-MRA) images using artificial intelligence to provide an alternative to …

MicroRNA-124a regulates the differentiation of bone marrow mesenchymal stem cells into neurons

E Zhao, D Wang, L Jing, Z Zhao, S Huang… - Journal of Receptors …, 2023 - Taylor & Francis
Objective This study investigated the effects of microRNA-124a on the differentiation of bone
marrow mesenchymal stem cells (BMSCs) and its underlying mechanism. Methods Flow …

Multi-delay arterial spin-labeled perfusion estimation with biophysics simulation and deep learning

R Hu, Q Zhang, P Spincemaille, TD Nguyen… - arXiv preprint arXiv …, 2023 - arxiv.org
Purpose: To develop biophysics-based method for estimating perfusion Q from arterial spin
labeling (ASL) images using deep learning. Methods: A 3D U-Net (QTMnet) was trained to …

Redefining Hemodynamic Imaging in Stroke: Perfusion Parameter Map Generation from TOF-MRA using Artificial Intelligence

T Kossen, VI Madai, F Lohrke, OU Aydin, J Behland… - medRxiv, 2023 - medrxiv.org
Background Perfusion assessment in cerebrovascular disease is essential for evaluating
cerebral hemodynamics and guides many current treatment decisions. Dynamic …

Clinical applications of generative artificial intelligence in radiology: image translation, synthesis, and text generation

Z Zhong, X Xie - BJR| Artificial Intelligence, 2024 - academic.oup.com
Generative artificial intelligence (AI) has enabled tasks in radiology, including tools for
improving image quality. Recently, new hotspots have emerged, such as intra-or inter-modal …