Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45991, first published .
Prediction of Diagnosis and Treatment Response in Adolescents With Depression by Using a Smartphone App and Deep Learning Approaches: Usability Study

Prediction of Diagnosis and Treatment Response in Adolescents With Depression by Using a Smartphone App and Deep Learning Approaches: Usability Study

Prediction of Diagnosis and Treatment Response in Adolescents With Depression by Using a Smartphone App and Deep Learning Approaches: Usability Study

Jae Sung Kim   1 , MD ;   Bohyun Wang   2 , PhD ;   Meelim Kim   3, 4, 5 , PhD ;   Jung Lee   6 , MD ;   Hyungjun Kim   7 , MS ;   Danyeul Roh   7 , BSc ;   Kyung Hwa Lee   8 , PhD ;   Soon-Beom Hong   8 , MD, PhD ;   Joon Shik Lim   2 , PhD ;   Jae-Won Kim   8 , MD, PhD ;   Neal Ryan   9 , MD

1 Department of Psychiatry, Seoul National University Hospital, Seoul, Republic of Korea

2 Department of Computer Science, Gachon University, Seongnam, Republic of Korea

3 Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Republic of Korea

4 Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea

5 Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, United States

6 Integrative Care Hub, Children's Hospital, Seoul National University Hospital, Seoul, Republic of Korea

7 AI.ble Therapeutics Inc, Seoul, Republic of Korea

8 Division of Child and Adolescent Psychiatry, Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea

9 Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States

Corresponding Author:

  • Jae-Won Kim, MD, PhD
  • Division of Child and Adolescent Psychiatry, Department of Psychiatry
  • Seoul National University College of Medicine
  • 101, Daehak-ro, Jongno-gu
  • Seoul, 03080
  • Republic of Korea
  • Phone: 82 2-2072-3648
  • Email: kimjw412@snu.ac.kr