Dong Yeong Kim
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Dong Yeong Kim has a total of 52 co-authors. Here are the top co-authors by number of shared publications:
- Chong Hyun Suh
Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
3 shared publications - Ho Sung Kim
Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
2 shared publications - Jeong Min Song
Department of Convergence Medicine, University of Ulsan College of Medicine, Asan Medical Center, Seoul
2 shared publications - Kyung Won Kim
Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
2 shared publications - Namkug Kim
Department of Convergence Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
2 shared publications - Pyeong Hwa Kim
Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
2 shared publications
Latest Publications
- Open Access
Expert Discrimination of AI-Generated versus Authentic Radiologic Images: A Multimodal, Pre-Registered Visual Turing Test
Background: Frontier text-to-image models can synthesise radiologic images of high realism, raising the question of whether expert radiologists can serve as a provenance safeguard for the medical image record. Methods: We conducted a prospective, pre-registered visual Turing test in which 60 invited Korean board-certified radiology faculty and trainees judged authentic (teaching-repository) and AI-generated radiologic images from a locked pool of 241 displayable cells (82 entities; nine subspecialties; six modalities; 60 readers x 60 trials = 3,600 reader–image observations) produced by two contemporary commercial generators. The primary endpoint was the confidence-weighted, reader-averaged multi-reader multi-case area under the curve for AI versus authentic images, conditional on the locked image pool; the key secondary endpoint was the Faculty-minus-Junior difference under a two one-sided tests equivalence framework. The pre-specified statistical analysis plan was registered on the Open Science Framework before data lock. Findings: All 60 readers completed the test. The pooled confidence-weighted area under the curve was 0.71 (95% CI, 0.69 to 0.74), above the null value of 0.5 but within the pre-specified modest tier (0.60 to 0.75). The Faculty-minus-Junior contrast was 0.04 (95% CI, −0.02 to 0.10), including zero, and the two one-sided tests established equivalence within the +/−0.10 margin. No reader stratum and no pre-specified sensitivity analysis reached the deployable-classifier threshold (area under the curve >= 0.75). Interpretation: In this single-country cohort, expert radiologists distinguished frontier-generated from authentic radiologic images only modestly, without a meaningful expertise gradient (equivalence within +/−0.10) and with no reader stratum reaching a standalone provenance safeguard. These findings support radiology AI-literacy training and pipeline-level provenance safeguards rather than reliance on reader judgment, and warrant retesting in an independent reader cohort. Funding: This research was supported by a grant of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea (grant number: RS-2025-02213531).
Open AccessExpert Discrimination of AI-Generated versus Authentic Radiologic Images: A Multimodal, Pre-Registered Visual Turing Test
Background: Frontier text-to-image models can synthesise radiologic images of high realism, raising the question of whether expert radiologists can serve as a provenance safeguard for the medical image record. Methods: We conducted a prospective, pre-registered visual Turing test in which 60 invited Korean board-certified radiology faculty and trainees judged authentic (teaching-repository) and AI-generated radiologic images from a locked pool of 241 displayable cells (82 entities; nine subspecialties; six modalities; 60 readers x 60 trials = 3,600 reader–image observations) produced by two contemporary commercial generators. The primary endpoint was the confidence-weighted, reader-averaged multi-reader multi-case area under the curve for AI versus authentic images, conditional on the locked image pool; the key secondary endpoint was the Faculty-minus-Junior difference under a two one-sided tests equivalence framework. The pre-specified statistical analysis plan was registered on the Open Science Framework before data lock. Findings: All 60 readers completed the test. The pooled confidence-weighted area under the curve was 0.71 (95% CI, 0.69 to 0.74), above the null value of 0.5 but within the pre-specified modest tier (0.60 to 0.75). The Faculty-minus-Junior contrast was 0.04 (95% CI, −0.02 to 0.10), including zero, and the two one-sided tests established equivalence within the +/−0.10 margin. No reader stratum and no pre-specified sensitivity analysis reached the deployable-classifier threshold (area under the curve >= 0.75). Interpretation: In this single-country cohort, expert radiologists distinguished frontier-generated from authentic radiologic images only modestly, without a meaningful expertise gradient (equivalence within +/−0.10) and with no reader stratum reaching a standalone provenance safeguard. These findings support radiology AI-literacy training and pipeline-level provenance safeguards rather than reliance on reader judgment, and warrant retesting in an independent reader cohort. Funding: This research was supported by a grant of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea (grant number: RS-2025-02213531).
- Top Cited PapersOpen Access
- 1 January 2025
- Published by XMLink in Korean Journal of Radiology
- Vol. 26 (10) , 900-923
Multimodal Large Language Models in Medical Imaging: Current State and Future Directions
Nam Y, et al. Korean J Radiol. 2025 Aug;26:e68. https://doi.org/10.3348/kjr.2025.0599
- 1 January 2025
- Published by XMLink in Korean Journal of Radiology
- Vol. 26 (10) , 900-923
Top Cited PapersOpen AccessMultimodal Large Language Models in Medical Imaging: Current State and Future Directions
Nam Y, et al. Korean J Radiol. 2025 Aug;26:e68. https://doi.org/10.3348/kjr.2025.0599
- Open Access
- 1 January 2023
- Published by XMLink in Korean Journal of Radiology
- Vol. 24 (12) , 1179-1189
Reporting Quality of Research Studies on AI Applications in Medical Images According to the CLAIM Guidelines in a Radiology Journal With a Strong Prominence in Asia
Kim DY, et al. Korean J Radiol. 2023 Dec;24(12):1179-1189. https://doi.org/10.3348/kjr.2023.1027
- 1 January 2023
- Published by XMLink in Korean Journal of Radiology
- Vol. 24 (12) , 1179-1189
Open AccessReporting Quality of Research Studies on AI Applications in Medical Images According to the CLAIM Guidelines in a Radiology Journal With a Strong Prominence in Asia
Kim DY, et al. Korean J Radiol. 2023 Dec;24(12):1179-1189. https://doi.org/10.3348/kjr.2023.1027
- Open Access
- 1 January 2021
- Published by XMLink in Journal of Korean Medical Science
- Vol. 36 (2) , e14
Symptoms and Characteristics Which Require Attention During COVID-19 Screening at a Port of Entry
Song SW, et al. J Korean Med Sci. 2020 Oct;36(2):e14. https://doi.org/10.3346/jkms.2021.36.e14
- 1 January 2021
- Published by XMLink in Journal of Korean Medical Science
- Vol. 36 (2) , e14
Open AccessSymptoms and Characteristics Which Require Attention During COVID-19 Screening at a Port of Entry
Song SW, et al. J Korean Med Sci. 2020 Oct;36(2):e14. https://doi.org/10.3346/jkms.2021.36.e14
- Open Access
- 1 January 2021
- Published by XMLink in Korean Journal of Radiology
- Vol. 22 (4) , 584-595
Immune Checkpoint Inhibitor with or without Radiotherapy in Melanoma Patients with Brain Metastases: A Systematic Review and Meta-Analysis
Kim PH, et al. Korean J Radiol. 2020 Jul;21:e181. https://doi.org/10.3348/kjr.2020.0728
- 1 January 2021
- Published by XMLink in Korean Journal of Radiology
- Vol. 22 (4) , 584-595
Open AccessImmune Checkpoint Inhibitor with or without Radiotherapy in Melanoma Patients with Brain Metastases: A Systematic Review and Meta-Analysis
Kim PH, et al. Korean J Radiol. 2020 Jul;21:e181. https://doi.org/10.3348/kjr.2020.0728
- Open Access
- 16 December 2020
- Published by MDPI AG in Diagnostics
- Vol. 10 (12) , 1098
Immune Checkpoint Inhibitors with or without Radiotherapy in Non-Small Cell Lung Cancer Patients with Brain Metastases: A Systematic Review and Meta-Analysis
This study aimed to evaluate the radiologic response and adverse event rates of immune checkpoint inhibitor (ICI) therapy with or without radiotherapy for the treatment of non-small cell lung cancer (NSCLC) brain metastases. A systematic literature search was performed up to January 3, 2020. Studies evaluating the intracranial objective response rates (ORR) and/or disease control rates (DCR) of ICI with or without radiotherapy for treating NSCLC brain metastases were included. Consequently, twelve studies satisfied inclusion criteria. ICI combined with radiotherapy (pooled ORR, 95%; DCR, 97%) showed better local efficacy compared to ICI monotherapy (pooled ORR, 24%; DCR, 44%; p < 0.01 for both ORR and DCR). Grade 3 or 4 central nervous system (CNS)-related adverse event rates were not different (5% vs. 4%; p = 0.93). In conclusion, ICI combined with radiotherapy showed better intracranial efficacy than ICI monotherapy for treating NSCLC brain metastases. CNS-related grade 3 or 4 adverse event rate was not statistically different between the two groups. Several prospective trials are needed to compare the efficacy of ICI combined with radiotherapy and ICI monotherapy.
- 16 December 2020
- Published by MDPI AG in Diagnostics
- Vol. 10 (12) , 1098
Open AccessImmune Checkpoint Inhibitors with or without Radiotherapy in Non-Small Cell Lung Cancer Patients with Brain Metastases: A Systematic Review and Meta-Analysis
This study aimed to evaluate the radiologic response and adverse event rates of immune checkpoint inhibitor (ICI) therapy with or without radiotherapy for the treatment of non-small cell lung cancer (NSCLC) brain metastases. A systematic literature search was performed up to January 3, 2020. Studies evaluating the intracranial objective response rates (ORR) and/or disease control rates (DCR) of ICI with or without radiotherapy for treating NSCLC brain metastases were included. Consequently, twelve studies satisfied inclusion criteria. ICI combined with radiotherapy (pooled ORR, 95%; DCR, 97%) showed better local efficacy compared to ICI monotherapy (pooled ORR, 24%; DCR, 44%; p < 0.01 for both ORR and DCR). Grade 3 or 4 central nervous system (CNS)-related adverse event rates were not different (5% vs. 4%; p = 0.93). In conclusion, ICI combined with radiotherapy showed better intracranial efficacy than ICI monotherapy for treating NSCLC brain metastases. CNS-related grade 3 or 4 adverse event rate was not statistically different between the two groups. Several prospective trials are needed to compare the efficacy of ICI combined with radiotherapy and ICI monotherapy.
- 11 October 2016
- Published by Elsevier in Annals of Oncology
- Vol. 27 (suppl_6) , vi172
Association between HER2 amplification and cetuximab efficacy in patients with RAS wild-type metastatic colorectal cancer
Background: Cetuximab has shown clinical benefit in patients with metastatic colorectal cancer (mCRC) harbouring wild-type RAS. HER2 amplification has been suggested as one of the resistant mechanisms of cetuximab treatment. We evaluated association between HER2 amplification and cetuximab efficacy in mCRC patients harbouring extended RAS wild-type.
- 11 October 2016
- Published by Elsevier in Annals of Oncology
- Vol. 27 (suppl_6) , vi172
Association between HER2 amplification and cetuximab efficacy in patients with RAS wild-type metastatic colorectal cancer
Background: Cetuximab has shown clinical benefit in patients with metastatic colorectal cancer (mCRC) harbouring wild-type RAS. HER2 amplification has been suggested as one of the resistant mechanisms of cetuximab treatment. We evaluated association between HER2 amplification and cetuximab efficacy in mCRC patients harbouring extended RAS wild-type.
- 30 June 2015
- Published by Korean Academy of Child and Adolescent Psychiatry in Journal of the Korean Academy of Child and Adolescent Psychiatry
- Vol. 26 (2) , 120-128
The Parent-Child Relationship and Depressive Symptoms in Korean Adolescents
- 30 June 2015
- Published by Korean Academy of Child and Adolescent Psychiatry in Journal of the Korean Academy of Child and Adolescent Psychiatry
- Vol. 26 (2) , 120-128
The Parent-Child Relationship and Depressive Symptoms in Korean Adolescents