Chi-Hyun Choi

Assistant Professor

Seoul National University Hospital

South Korea

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About

Chi-Hyun Choi is an Assistant Professor at Seoul National University Seoul Metropolitan Government Boramae Medical Center in South Korea. His research focuses on the application of digital therapeutics in pain management, the psychological impacts of pediatric COVID-19, and innovative approaches to behavioral health interventions using artificial intelligence and machine learning. Recent articles include studies on cognitive behavioral therapy alignment, the efficacy of digital health applications, and the psychosocial aspects of adolescent mental health.

Articles (15)

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2025

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2024

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2021

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2021

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2021

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Yeungnam University

SOUTH KOREA

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Chi-Hyun Choi

Research Interests

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Articles (15)

Aligning large language models for cognitive behavioral therapy: a proof-of-concept study

Study protocol for a prospective, randomized controlled confirmatory clinical investigation to evaluate the safety and efficacy of a multidisciplinary digital therapeutics in patients with patellofemoral pain syndrome

Validity and Reliability of an Artificial Intelligence-Based Posture Estimation Software for Measuring Cervical and Lower-Limb Alignment Versus Radiographic Imaging

Impact of pediatric COVID-19 isolation on children’s well-being and caregiver mental health

Efficacy of a Mobile Multidisciplinary Digital Therapeutic Application for Patellofemoral Pain: A Randomized Controlled Trial (Preprint)

Multidisciplinary Digital Therapeutics for Chronic Low Back Pain Versus In-Person Therapeutic Exercise with Education: A Randomized Controlled Pilot Study

A latent profile analysis on adolescents' Non-Suicidal Self-Injury related to intrapersonal and interpersonal factors

Depression and posttraumatic stress disorder in adolescents with nonsuicidal self-injury: comparisons of the psychological correlates and suicidal presentations across diagnostic subgroups

Development of an innovative approach using portable eye tracking to assist ADHD screening: a machine learning study

Causing trouble and being transmissible: COVID-19 survivors’ experiences of stigma and discrimination in South Korea

Identification of Major Psychiatric Disorders From Resting-State Electroencephalography Using a Machine Learning Approach

Relationship of Social and Behavioral Characteristics to Suicidality in Community Adolescents With Self-Harm: Considering Contagion and Connection on Social Media

Effects of Antidepressant Treatment on Symptom Measures of Attention in Adolescents with Depression: A Preliminary Open-Label Study

Changes in Clinical Practice in Medical Areas Not Related to COVID-19: A Cross Sectional Survey During COVID-19 Crisis

Psychometric properties and factor structure of the Korean version of the screen for child anxiety related emotional disorders (SCARED)

Collaborators (6)

Donghwan Lee

Jae Hyeon Park

Sam Yeol Chang

Chong Bum Chang

Eun-Seung Yu

Sojung Kim

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