Artificial intelligence for clinical decision support in acute ischemic stroke: A systematic review

EMZ Akay, A Hilbert, BG Carlisle, VI Madai, MA Mutke… - Stroke, 2023 - Am Heart Assoc
Background: Established randomized trial-based parameters for acute ischemic stroke
group patients into generic treatment groups, leading to attempts using various artificial …

Application and risk prediction of thrombolytic therapy in cardio-cerebrovascular diseases: a review

K Zhang, Y Jiang, H Zeng, H Zhu - Thrombosis Journal, 2023 - Springer
Cardiocerebrovascular diseases (CVDs) are the leading cause of death worldwide,
consuming huge healthcare budget. For CVD patients, the prompt assessment and …

Plasma extracellular vesicles tau and β‐amyloid as biomarkers of cognitive dysfunction of Parkinson's disease

CC Chung, L Chan, JH Chen, OA Bamodu… - The FASEB …, 2021 - Wiley Online Library
The contribution of circulatory tau and β‐amyloid in Parkinson's disease (PD), especially the
cognitive function, remains inconclusive. Extracellular vesicles (EVs) cargo these proteins …

Cytokine profile in plasma extracellular vesicles of Parkinson's disease and the association with cognitive function

L Chan, CC Chung, JH Chen, RC Yu, CT Hong - Cells, 2021 - mdpi.com
Plasma extracellular vesicles (EVs) containing various molecules, including cytokines, can
reflect the intracellular condition and participate in cell-to-cell signaling, thus emerging as …

Artificial neural network based prediction of postthrombolysis intracerebral hemorrhage and death

CC Chung, L Chan, OA Bamodu, CT Hong, HW Chiu - Scientific reports, 2020 - nature.com
Despite the salient benefits of the intravenous tissue plasminogen activator (tPA),
symptomatic intracerebral hemorrhage (sICH) remains a frequent complication and …

XGBoost-based simple three-item model accurately predicts outcomes of acute ischemic stroke

CC Chung, ECY Su, JH Chen, YT Chen, CY Kuo - Diagnostics, 2023 - mdpi.com
An all-inclusive and accurate prediction of outcomes for patients with acute ischemic stroke
(AIS) is crucial for clinical decision-making. This study developed extreme gradient boosting …

[HTML][HTML] Cytokine profiles of plasma extracellular vesicles as progression biomarkers in Parkinson's disease

L Chan, CC Chung, RC Yu, CT Hong - Aging (Albany NY), 2023 - ncbi.nlm.nih.gov
Background: Inflammation contributes substantially to the pathogenesis of Parkinson's
disease (PD). Plasma extracellular vesicle (EV)-derived cytokines are emerging biomarkers …

Identifying prognostic factors and developing accurate outcome predictions for in-hospital cardiac arrest by using artificial neural networks

CC Chung, WT Chiu, YH Huang, L Chan… - Journal of the …, 2021 - Elsevier
Background Accurate estimation of neurological outcomes after in-hospital cardiac arrest
(IHCA) provides crucial information for clinical management. This study used artificial neural …

Plasma extracellular vesicle synaptic proteins as biomarkers of clinical progression in patients with Parkinson's disease

CT Hong, CC Chung, RC Yu, L Chan - Elife, 2024 - elifesciences.org
Synaptic dysfunction plays a key role in Parkinson's disease (PD), and plasma extracellular
vesicle (EV) synaptic proteins are emerging as biomarkers for neurodegenerative diseases …

Emerging frontiers of artificial intelligence and machine learning in ischemic stroke: a comprehensive investigation of state-of-the-art methodologies, clinical …

Y Fan, Z Song, M Zhang - EPMA Journal, 2023 - Springer
At present, stroke remains the second highest cause of death globally and a leading cause
of disability. From 1990 to 2019, the absolute number of strokes worldwide increased by …