Artificial Intelligence in Emergency Medicine. A Systematic Literature Review.

K Piliuk, S Tomforde - International Journal of Medical Informatics, 2023 - Elsevier
Motivation and objective: Emergency medicine is becoming a popular application area for
artificial intelligence methods but remains less investigated than other healthcare branches …

Systematic review of machine learning applied to the secondary prevention of ischemic stroke

M Chen, D Qian, Y Wang, J An, K Meng, S Xu… - Journal of Medical …, 2024 - Springer
Ischemic stroke is a serious disease posing significant threats to human health and life, with
the highest absolute and relative risks of a poor prognosis following the first occurrence, and …

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 …

Systematic Review and Meta‐Analysis of Prehospital Machine Learning Scores as Screening Tools for Early Detection of Large Vessel Occlusion in Patients With …

M Alobaida, M Joddrell, Y Zheng, GYH Lip… - Journal of the …, 2024 - Am Heart Assoc
Background Enhanced detection of large vessel occlusion (LVO) through machine learning
(ML) for acute ischemic stroke appears promising. This systematic review explored the …

Image Classification of Ischemic Stroke Blood Clot Origin using Stacked EfficientNet-B0, VGG19 and ResNet-152

MVSR Rao, S Puligundla, NS Ekkala… - … on Secure Cyber …, 2023 - ieeexplore.ieee.org
Stroke continues to be the second-leading cause of mortality globally. Over 700,000
Americans suffer from an ischemic stroke every year as a result of a blood clot clogging a …

Associations between basic physiological observations recorded pre-thrombectomy and functional outcome: a systematic review and meta-analysis

HA Lumley, L Shaw, J Morris, A Alton, P White… - Frontiers in …, 2023 - frontiersin.org
Introduction Mechanical thrombectomy results in more favourable functional outcomes for
patients with acute large vessel occlusion (LVO) stroke. Key clinical determinants of …

Artificial intelligence applications in acute ischemic stroke

Y Cui, D Han, R Fan, Y Xiao, L Fan, S Liu - Chinese Journal of Academic …, 2023 - Springer
Acute ischemic stroke (AIS) accounts for more than half of stroke cases and results in severe
outcomes from physical disabilities, mental disorders to death. Timely treatment could save …

Artificial Intelligence in Emergency Medicine: A Case for More

N Garg - Annals of Emergency Medicine, 2024 - annemergmed.com
“There is no harm in hoping for the best, as long as you are prepared for the worst.” Andy
Dufresne in Stephen King's book Different Seasons Petrella 1 has laid out a framework for …

Comparative Analysis of Machine Learning and Logistic Regression Models in Predicting Outcomes of Mechanical Thrombectomy in Acute Ischemic Stroke

S Wang, Y Zhou, C Shu, J Su, F Ding, M Wei, H Yan - papers.ssrn.com
Background and purpose Machine learning algorithms can identify complex interactions and
nonlinear relationships between variables, and may be preferred over the traditional logistic …