Editorial: AI-Based Computer-Aided Diagnosis and Prognosis for Psychiatric Disorders

Miseon Shim; Do-Won Kim; Seung-Hwan Lee; Han-Jeong Hwang

doi:10.3389/fnhum.2022.901525

Editorial: AI-Based Computer-Aided Diagnosis and Prognosis for Psychiatric Disorders

Front Hum Neurosci. 2022 Apr 18:16:901525. doi: 10.3389/fnhum.2022.901525. eCollection 2022.

Authors

Miseon Shim^{1

2}, Do-Won Kim³, Seung-Hwan Lee^{4

5}, Han-Jeong Hwang^{2

6}

Affiliations

¹ Industry Development Institute, Korea University, Sejong, South Korea.
² Department of Electronics and Information Engineering, Korea University, Sejong, South Korea.
³ Department of Biomedical Engineering, Chonnam National University, Yeosu, South Korea.
⁴ Department of Psychiatry, Ilsan Paik Hospital, Inje University, Goyang, South Korea.
⁵ Clinical Emotion and Cognition Research Laboratory, Goyang, South Korea.
⁶ Interdisciplinary Graduate Program for Artificial Intelligence Smart Convergence Technology, Korea University, Sejong, South Korea.

No abstract available

Keywords: computer-aided diagnosis (CAD); computer-aided prognosis (CAP); deep learning; endophenotype biomarkers; machine learning; neuroimaging tools; psychiatric disorders.

Publication types

Editorial