Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48142, first published .
Developing and Evaluating an AI-Based Computer-Aided Diagnosis System for Retinal Disease: Diagnostic Study for Central Serous Chorioretinopathy

Developing and Evaluating an AI-Based Computer-Aided Diagnosis System for Retinal Disease: Diagnostic Study for Central Serous Chorioretinopathy

Developing and Evaluating an AI-Based Computer-Aided Diagnosis System for Retinal Disease: Diagnostic Study for Central Serous Chorioretinopathy

Jeewoo Yoon   1, 2 * , DPhil ;   Jinyoung Han   1, 3 * , DPhil ;   Junseo Ko   1, 2 , MSc ;   Seong Choi   1, 2 , MSc ;   Ji In Park   4 , MD, DPhil ;   Joon Seo Hwang   5 , MD ;   Jeong Mo Han   6 , MD ;   Daniel Duck-Jin Hwang   7, 8 , MD, DPhil

1 Department of Applied Artificial Intelligence, Sungkyunkwan University, Seoul, Republic of Korea

2 Raondata, Seoul, Republic of Korea

3 Department of Human-Artificial Intelligence Interaction, Sungkyunkwan University, Seoul, Republic of Korea

4 Department of Medicine, Kangwon National University School of Medicine, Kangwon National University Hospital, Chuncheon, Republic of Korea

5 Seoul Plus Eye Clinic, Seoul, Republic of Korea

6 Seoul Bombit Eye Clinic, Sejong, Republic of Korea

7 Department of Ophthalmology, Hangil Eye Hospital, Incheon, Republic of Korea

8 Lux Mind, Incheon, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Daniel Duck-Jin Hwang, MD, DPhil
  • Department of Ophthalmology
  • Hangil Eye Hospital
  • 35 Bupyeong-daero, Bupyeong-gu, Incheon
  • Incheon, 21388
  • Republic of Korea
  • Phone: 82 327175808
  • Email: daniel.dj.hwang@gmail.com