Deep Learning Algorithm Trained on Brain Magnetic Resonance Images and Clinical Data to Predict Motor Outcomes of Patients With Corona Radiata Infarct

por Kim, Jeoung Kun, Chang, Min Cheol, Park, Donghwi
Publicado 2022

Deep Learning Algorithm Trained on Cervical Magnetic Resonance Imaging to Predict Outcomes of Transforaminal Epidural Steroid Injection for Radicular Pain from Cervical Foraminal S...

por Wang, Ming Xing, Kim, Jeoung Kun, Chang, Min Cheol
Publicado 2023

How about actively using telemedicine during the COVID-19 pandemic?

por Hau, Yong Sauk, Kim, Jeoung Kun, Hur, Jian, Chang, Min Cheol
Publicado 2020

Development of convolutional neural network model for diagnosing osteochondral lesions of the talus using anteroposterior ankle radiographs

por Shin, Hyunkwang, Park, Donghwi, Kim, Jeoung Kun, Choi, Gyu Sang, Chang, Min Cheol
Publicado 2023

Prediction of ambulatory outcome in patients with corona radiata infarction using deep learning

por Kim, Jeoung Kun, Choo, Yoo Jin, Shin, Hyunkwang, Choi, Gyu Sang, Chang, Min Cheol
Publicado 2021

Machine learning analysis to predict the need for ankle foot orthosis in patients with stroke

por Choo, Yoo Jin, Kim, Jeoung Kun, Kim, Jang Hwan, Chang, Min Cheol, Park, Donghwi
Publicado 2021

Deep Learning Analysis to Automatically Detect the Presence of Penetration or Aspiration in Videofluoroscopic Swallowing Study

por Kim, Jeoung Kun, Choo, Yoo Jin, Choi, Gyu Sang, Shin, Hyunkwang, Chang, Min Cheol, Park, Donghwi
Publicado 2022

The Use of Artificial Intelligence to Predict the Prognosis of Patients Undergoing Central Nervous System Rehabilitation: A Narrative Review

por Chang, Min Cheol, Kim, Jeoung Kun, Park, Donghwi, Kim, Jang Hwan, Kim, Chung Reen, Choo, Yoo Jin
Publicado 2023