Monitoring of Neuroendocrine Changes in Acute Stage of Severe Craniocerebral Injury by Transcranial Doppler Ultrasound Image Features Based on Artificial Intelligence Algorithm

• Published in: Computational and mathematical methods in medicine Vol. 2021; pp. 1 - 9
• Main Authors: Wang, Tao, Chen, Yizhu, Du, Hangxiang, Liu, Yongan, Zhang, Lidi, Meng, Mei
• Format: Journal Article
• Language: English
• Published: United States Hindawi 15.12.2021
• Subjects: Adrenocorticotropic Hormone - blood; Adult; Algorithms; Artificial Intelligence; Brain Injuries, Traumatic - blood; Brain Injuries, Traumatic - diagnostic imaging; Brain Injuries, Traumatic - physiopathology; Computational Biology; Craniocerebral Trauma - blood; Craniocerebral Trauma - diagnostic imaging; Craniocerebral Trauma - physiopathology; Female; Follicle Stimulating Hormone - blood; Glasgow Coma Scale; Human Growth Hormone - blood; Humans; Male; Middle Aged; Neurosecretory Systems - physiopathology; Prolactin - blood; Thyrotropin - blood; Ultrasonography, Doppler, Transcranial - statistics & numerical data; Young Adult

This study was aimed at exploring the application value of transcranial Doppler (TCD) based on artificial intelligence algorithm in monitoring the neuroendocrine changes in patients with severe head injury in the acute phase; 80 patients with severe brain injury were included in this study as the st...