Therapeutic hypothermia in patients after cardiac arrest: A systematic review and meta-analysis of randomized controlled trials

PY Chiu, CC Chung, YK Tu, CH Tseng… - The American journal of …, 2023 - Elsevier
Objective Targeted temperature management (TTM) with therapeutic hypothermia (TH) has
been used to improve neurological outcomes in patients after cardiac arrest; however …

Post-Cardiac arrest outcome prediction using machine learning: A systematic review and meta-analysis

A Zobeiri, A Rezaee, F Hajati, A Argha… - International Journal of …, 2024 - Elsevier
Background Early and reliable prognostication in post-cardiac arrest patients remains
challenging, with various factors linked to return of spontaneous circulation (ROSC) …

Risk factor identification and prediction models for prolonged length of stay in hospital after acute ischemic stroke using artificial neural networks

CC Yang, OA Bamodu, L Chan, JH Chen… - Frontiers in …, 2023 - frontiersin.org
Background Accurate estimation of prolonged length of hospital stay after acute ischemic
stroke provides crucial information on medical expenditure and subsequent disposition. This …

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 …

Predicting in-hospital cardiac arrest outcomes: CASPRI and GO-FAR scores

J Jung, JH Ryu, S Shon, M Min, TG Hyun, M Chun… - Scientific Reports, 2023 - nature.com
It is important to predict the neurological prognoses of in-hospital cardiac arrest (IHCA)
patients immediately after recovery of spontaneous circulation (ROSC) to make further …

[HTML][HTML] Identifying Risk Factors for Prolonged Length of Stay in Hospital and Developing Prediction Models for Patients with Cardiac Arrest Receiving Targeted …

WT Chiu, L Chan, JHB Masud, CT Hong… - Reviews in …, 2023 - imrpress.com
Background: Prolonged length of stay (LOS) following targeted temperature management
(TTM) administered after cardiac arrest may affect healthcare plans and expenditures. This …

[HTML][HTML] Personalized Predictions of Therapeutic Hypothermia Outcomes in Cardiac Arrest Patients with Shockable Rhythms Using Explainable Machine Learning

CT Hong, OA Bamodu, HW Chiu, WT Chiu, L Chan… - Diagnostics, 2025 - mdpi.com
Background: Therapeutic hypothermia (TH) represents a critical therapeutic intervention for
patients with cardiac arrest, although treatment efficacy and prognostic factors may vary …

Validation of CASPRI, GO-FAR, PIHCA scores in predicting favorable neurological outcomes after in-hospital cardiac arrest; A five-year three center retrospective …

F Alamuti, S Hosseinigolafshani, M Ranjbaran… - BMC Cardiovascular …, 2024 - Springer
Background Predicting neurological outcomes following in-hospital cardiac arrest is crucial
for guiding subsequent clinical treatments. This study seeks to validate the effectiveness of …

Role of artificial intelligence in predicting neurological outcomes in postcardiac resuscitation

MM Khawar, HA Saboor, R Eric, NR Arain… - Annals of Medicine …, 2024 - journals.lww.com
Being an extremely high mortality rate condition, cardiac arrest cases have rightfully been
evaluated via various studies and scoring factors for effective resuscitative practices and …

Healthcare with emphasis on coronary thrombosis prediction

C Vijayakumaran, K Ramagopal… - AIP Conference …, 2024 - pubs.aip.org
Heart attacks, also known as cardiac arrests, have become a leading cause of death
globally in recent decades. They represent the culmination of intricate relationships between …