A Preliminary Evaluation of the Diagnostic Performance of a Smartphone-Based Machine Learning-Assisted System for Evaluation of Clinical Activity Score in Digital Images of Thyroid-Associated Orbitopathy

Author:

Shin Kyubo1,Choung Hokyung2,Lee Min Joung3,Kim Jongchan1,Lee Gyeong Min4,Kim Seongmi5,Kim Jae Hyuk6,Oh Richul6,Park Jisun6,Lee Sang Muk3,Park Jaemin1,Kim Namju5,Moon Jae Hoon178ORCID

Affiliation:

1. AI Research Center, THYROSCOPE INC., Ulsan, Republic of Korea.

2. Department of Ophthalmology, Seoul Metropolitan Government Seoul National University Boramae Medical Center and Seoul National University College of Medicine, Seoul, Republic of Korea.

3. Department of Ophthalmology, Hallym University Sacred Heart Hospital and Hallym University College of Medicine, Anyang, Republic of Korea.

4. Department of Ophthalmology, Dongguk University Ilsan Medical Center, Gyeonggi-do, Republic of Korea.

5. Department of Ophthalmology, Seoul National University Bundang Hospital and Seoul National University College of Medicine, Seongnam, Republic of Korea.

6. Department of Ophthalmology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Republic of Korea.

7. Department of Internal Medicine, Seoul National University Bundang Hospital and Seoul National University College of Medicine, Seongnam, Republic of Korea.

8. Center for Artificial Intelligence in Healthcare, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.

Publisher

Mary Ann Liebert Inc

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