Purpose Our review of acute brain insult articles indicated that the patients' individual (i) timeline panels with the defined time points since the emergency call and (ii) serial brain …
R Wang, J Zhang, B Shan, M He… - … Disease and Treatment, 2022 - ncbi.nlm.nih.gov
Background Patients suffered aneurysmal subarachnoid hemorrhage (aSAH) usually develop poor survival and functional outcome. Evaluating aSAH patients at high risk of poor …
C Huang, J Wang, SH Wang, YD Zhang - Neurocomputing, 2022 - Elsevier
Brain diseases threaten hundreds of thousands of people over the world. Medical imaging techniques such as MRI and CT are employed for various brain disease studies. As artificial …
N Stroh, H Stefanits, A Maletzky, S Kaltenleithner… - Scientific Reports, 2023 - nature.com
Abstract Machine learning (ML) has revolutionized data processing in recent years. This study presents the results of the first prediction models based on a long-term monocentric …
Subarachnoid hemorrhage (SAH) is one of the major health issues known to society and has a higher mortality rate. The clinical factors with computed tomography (CT), magnetic …
M Wu, K Yu, Z Zhao, B Zhu - Heliyon, 2024 - cell.com
Objective Machine learning (ML) models have been widely applied in stroke prediction, diagnosis, treatment, and prognosis assessment. We aimed to conduct a comprehensive …
T Lee, ET Jeon, JM Jung, M Lee - Journal of Personalized Medicine, 2022 - mdpi.com
According to the Korea Institute for Health and Social Affairs, in 2017, the elderly, aged 65 or older, had an average of 2.7 chronic diseases per person. The concern for the medical …
Early and reliable prediction of shunt-dependent hydrocephalus (SDHC) after aneurysmal subarachnoid hemorrhage (aSAH) may decrease the duration of in-hospital stay and reduce …
JR Vitt, S Mainali - Seminars in Neurology, 2024 - thieme-connect.com
The utilization of Artificial Intelligence (AI) and Machine Learning (ML) is paving the way for significant strides in patient diagnosis, treatment, and prognostication in neurocritical care …