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Perspective of artificial intelligence in healthcare data management: A journey towards precision medicine
Mounting evidence has highlighted the implementation of big data handling and
management in the healthcare industry to improve the clinical services. Various private and …
management in the healthcare industry to improve the clinical services. Various private and …
Artificial intelligence and acute stroke imaging
Artificial intelligence technology is a rapidly expanding field with many applications in acute
stroke imaging, including ischemic and hemorrhage subtypes. Early identification of acute …
stroke imaging, including ischemic and hemorrhage subtypes. Early identification of acute …
Machine learning in action: stroke diagnosis and outcome prediction
The application of machine learning has rapidly evolved in medicine over the past decade.
In stroke, commercially available machine learning algorithms have already been …
In stroke, commercially available machine learning algorithms have already been …
Machine learning approach to identify stroke within 4.5 hours
Background and Purpose—We aimed to investigate the ability of machine learning (ML)
techniques analyzing diffusion-weighted imaging (DWI) and fluid-attenuated inversion …
techniques analyzing diffusion-weighted imaging (DWI) and fluid-attenuated inversion …
[HTML][HTML] A comprehensive survey on the detection, classification, and challenges of neurological disorders
Simple Summary This study represents a resourceful review article that can deliver
resources on neurological diseases and their implemented classification algorithms to …
resources on neurological diseases and their implemented classification algorithms to …
Artificial intelligence as an emerging technology in the current care of neurological disorders
Background Artificial intelligence (AI) has influenced all aspects of human life and neurology
is no exception to this growing trend. The aim of this paper is to guide medical practitioners …
is no exception to this growing trend. The aim of this paper is to guide medical practitioners …
The initiator of neuroexcitotoxicity and ferroptosis in ischemic stroke: glutamate accumulation
G Fan, M Liu, J Liu, Y Huang - Frontiers in molecular neuroscience, 2023 - frontiersin.org
Glutamate plays an important role in excitotoxicity and ferroptosis. Excitotoxicity occurs
through over-stimulation of glutamate receptors, specifically NMDAR, while in the non …
through over-stimulation of glutamate receptors, specifically NMDAR, while in the non …
Automatic detection of stroke lesion from diffusion-weighted imaging via the improved YOLOv5
Background and objective Stroke is the second most deadly disease globally and seriously
endangers people's lives and health. The automatic detection of stroke lesions from diffusion …
endangers people's lives and health. The automatic detection of stroke lesions from diffusion …
Multi-grained contrastive representation learning for label-efficient lesion segmentation and onset time classification of acute ischemic stroke
Ischemic lesion segmentation and the time since stroke (TSS) onset classification from
paired multi-modal MRI imaging of unwitnessed acute ischemic stroke (AIS) patients is …
paired multi-modal MRI imaging of unwitnessed acute ischemic stroke (AIS) patients is …
Artificial intelligence for clinical decision support in acute ischemic stroke: a systematic review
Background: Established randomized trial-based parameters for acute ischemic stroke
group patients into generic treatment groups, leading to attempts using various artificial …
group patients into generic treatment groups, leading to attempts using various artificial …