Results 301 to 310 of about 11,852,880 (383)

Fibrinogen Changes Before and After Intravenous Thrombolysis as Predictors of Cerebral Injury and Clinical Outcomes in Acute Ischemic Stroke: A Multicenter Prospective Cohort Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Plasma fibrinogen is essential in thrombosis and fibrinolysis, yet its dynamic changes pre‐ and post‐intravenous thrombolysis (IVT) for predicting brain injury severity and prognosis in acute ischemic stroke (AIS) patients remain unclear.
Wenhai Zhai, Yang Qu, Reziya Abuduxukuer, Kejia Zhang, Peng Zhang, Xin Tang, Huaimei Zhang, Lijuan Wang, Lichong Yang, Shuangxu Tan, Zhimei Yuan, Ce Han, Lili He, Yuping Zheng, Fenglan Zhao, Lijie Guo, Ligang Jiang, Jinfeng Li, Yongfei Jiang, Xuexia Zou, Dan Xu, Han Xu, Xiaojia Wang, Yingbin Qi, Xuefeng Hu, Yu Zhang, Zhen‐Ni Guo, Hang Jin, on behalf of the Biomarkers of Brain Injury Investigator Study Group   +28 more
wiley   +1 more source

Dorsolateral Cervical Cord T2 Hyperintensity in KIF1C‐Related Disease (Spastic Paraplegia 58): Two Long‐Duration Cases

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Pathogenic variants in KIF1C cause Spastic Paraplegia 58 (SPG58), typically presenting with cerebellar ataxia and spastic paraparesis. We report two unrelated patients with spastic paraparesis, cerebellar ataxia, and tremor. Whole‐exome sequence analysis identified novel homozygous variants in the motor domain of KIF1C (NM_006612.6): c.921G>A (
Akihiko Mitsutake, Masao Osaki, Takashi Matsukawa, Miho Osako, Chisen Takeuchi, Hiroyuki Ishiura, Jun Mitsui, Ryo Kurokawa, Harushi Mori, Yuji Takahashi, Jun Goto, Shoji Tsuji, Tatsushi Toda   +12 more
wiley   +1 more source

Robust Medical Diagnosis: A Novel Two-Phase Deep Learning Framework for Adversarial Proof Disease Detection in Radiology Images. [PDF]

J Imaging Inform Med
Haque SBU, Zafar A.
europepmc   +1 more source

On medical diagnosis

openaire   +1 more source

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Methods for Clinical Evaluation of Artificial Intelligence Algorithms for Medical Diagnosis.

Radiology, 2022
Adequate clinical evaluation of artificial intelligence (AI) algorithms before adoption in practice is critical. Clinical evaluation aims to confirm acceptable AI performance through adequate external testing and confirm the benefits of AI-assisted care ...
S. Park, Kyunghwa Han, H. Jang, Ji Eun Park, June-Goo Lee, Dong Wook Kim, Jaesoon Choi   +6 more
semanticscholar   +1 more source