1.AI-driven Medical Care: Evaluation of Large Language Models in Generating Personalized Stroke Education Materials
Surim YOON ; Woo-Keun SEO ; Kyungseo KIM ; Seongvin JU ; Hyun Kyung KIM ; Hyung Jun KIM ; Jong-Won CHUNG ; Oh Young BANG ; Gyeong-Moon KIM ; Eun Young LEE ; Youngrak CHOI ; Soyoung YOO
Healthcare Informatics Research 2026;32(2):179-189
Objectives:
Large language models (LLMs) demonstrate remarkable potential in healthcare communication. However, whether they can process complex, high-volume medical information, such as stroke-related content, remains insufficiently validated. This study aimed to evaluate the natural language processing capabilities of LLMs in handling such content and to develop an evaluation instrument.
Methods:
A survey compared educational materials generated by two LLMs (ChatGPT 4.0 and Claude 3) with neurologist-authored content on stroke. The materials were based on two clinical scenarios representing distinct stroke etiologies: cardioembolism and large-artery atherosclerosis. They were evaluated in terms of accuracy, legality, ethics, comprehensiveness, and information delivery. Scores for comprehensiveness and information delivery were compared according to participants’ agreement with the use of LLMs in healthcare.
Results:
ChatGPT received the highest scores across all domains, except for legality in Scenario 2. In Scenario 1, the ranking for accuracy and summarization of clinical information was, from highest to lowest, ChatGPT, Claude, and the neurologist (η2 = 0.140, p < 0.001; η2 = 0.175, p < 0.001). The same hierarchy was observed in Scenario 2 for accuracy (η2 = 0.077, p < 0.001) and summarization (η2 = 0.194, p < 0.001). Participants who agreed with the use of LLMs in healthcare assigned higher scores for the comprehensiveness (Scenario 1, p = 0.005; Scenario 2, p = 0.007) and information delivery (Scenario 1, p = 0.003; Scenario 2, p = 0.026) of ChatGPT-generated materials than participants who did not agree.
Conclusions
LLMs demonstrated adequate capability to convey complex content, such as stroke-related information, in an accessible and understandable manner for non-experts.
2.Effectiveness of non-pharmacological interventions to reduce internalized stigma in people with severe mental illness: a systematic review and meta-analysis
Soyoung KIM ; Sun Hyoung BAE ; Myung-Sun HYUN
Journal of Korean Academy of Nursing 2025;55(1):1-18
Purpose:
This study systematically reviewed and analyzed the effects of non-pharmacological interventions on internalized stigma among people with severe mental illness.
Methods:
A systematic review and meta-analysis were conducted following the Cochrane Intervention Research Systematic Review Manual and Preferred Reporting Items for Systematic Review and Meta-Analysis guidelines. This study targeted people with severe mental illness as the population, interventions aimed at reducing internalized stigma, comparisons with control groups, and internalized stigma as the outcome. A literature search was performed across multiple databases, including PubMed, EMBASE, the Cochrane Library, CINAHL, PsycArticles, RISS, KMbase, and KoreaMed. The risk of bias was evaluated using the Cochrane Risk of Bias 2.0 tool. Effect sizes were computed using Hedges’s g, and subgroup analyses were conducted with Comprehensive Meta-Analysis software version 4.0.
Results:
Of 2,388 papers, 15 were included in the meta-analysis. The overall effect size (Hedges’s g) of the intervention was –0.60 (95% confidence interval, –1.01 to –0.19), indicating a statistically significant reduction in internalized stigma (Z=–2.88, p=.004). Subgroup analyses revealed that the intervention type (p=.008) and session length (p=.011) were significant moderators influencing the effectiveness of the interventions.
Conclusion
Tailoring interventions by considering variables such as the intervention type and session length could enhance the effectiveness of non-pharmacological interventions for reducing internalized stigma among people with severe mental illness (PROSPERO: CRD42023418561).
3.Ultrasound Findings Suggestive of Malignancy in Thyroid Nodules Classified as Follicular Lesion of Undetermined Significance or Follicular Neoplasm based on the 2017 Bethesda System for Reporting Thyroid Cytopathology
Heui Jin JUNG ; Na Lae EUN ; Eun Ju SON ; Jeong-Ah KIM ; Ji Hyun YOUK ; Hye Sun LEE ; Soyoung JEON
Journal of the Korean Society of Radiology 2025;86(1):114-126
Purpose:
To identify US findings suggestive of malignancy in thyroid nodules with follicular lesions of undetermined significance (FLUS) or follicular neoplasm (FN) on fine-needle aspiration cytology (FNAC) and evaluate the diagnostic performance.
Materials and Methods:
Seventy FLUS (n = 57) or FN (n = 13) nodules on FNAC that underwent surgical excision between February 2018 and November 2020 were selected. US findings were retrospectively reviewed. Orientation, margin, echogenicity, calcification, additional findings of the rim, echogenicity, heterogeneity of the solid portion, and the ratio of anterior posterior diameter to lateral diameter (criteria) were assessed. The diagnostic performances of US findings, criteria, and the Korean Society of Thyroid Radiology Thyroid Imaging Reporting and Data System (K-TIRADS) were evaluated using logistic regression analysis.
Results:
Microcalcification, homogeneous solid echotexture, and thickened rims were suggestive of malignancy. Our criteria showed a highest area under the ROC curve (AUC) value of 0.771, sensitivity of 97.14%, accuracy of 77.14%, positive predictive value of 93.33%, negative predictive value of 95.24%, and specificity of 97.14%. The criteria showed a significantly higher AUC value than K-TIRADS.
Conclusion
US findings of homogenous solid portions, thick rims, and microcalcifications suggested malignancy in nodules with FLUS or FN on FNAC. These additional US findings could improve the diagnostic performance of K-TIRADS.
4.Effectiveness of non-pharmacological interventions to reduce internalized stigma in people with severe mental illness: a systematic review and meta-analysis
Soyoung KIM ; Sun Hyoung BAE ; Myung-Sun HYUN
Journal of Korean Academy of Nursing 2025;55(1):1-18
Purpose:
This study systematically reviewed and analyzed the effects of non-pharmacological interventions on internalized stigma among people with severe mental illness.
Methods:
A systematic review and meta-analysis were conducted following the Cochrane Intervention Research Systematic Review Manual and Preferred Reporting Items for Systematic Review and Meta-Analysis guidelines. This study targeted people with severe mental illness as the population, interventions aimed at reducing internalized stigma, comparisons with control groups, and internalized stigma as the outcome. A literature search was performed across multiple databases, including PubMed, EMBASE, the Cochrane Library, CINAHL, PsycArticles, RISS, KMbase, and KoreaMed. The risk of bias was evaluated using the Cochrane Risk of Bias 2.0 tool. Effect sizes were computed using Hedges’s g, and subgroup analyses were conducted with Comprehensive Meta-Analysis software version 4.0.
Results:
Of 2,388 papers, 15 were included in the meta-analysis. The overall effect size (Hedges’s g) of the intervention was –0.60 (95% confidence interval, –1.01 to –0.19), indicating a statistically significant reduction in internalized stigma (Z=–2.88, p=.004). Subgroup analyses revealed that the intervention type (p=.008) and session length (p=.011) were significant moderators influencing the effectiveness of the interventions.
Conclusion
Tailoring interventions by considering variables such as the intervention type and session length could enhance the effectiveness of non-pharmacological interventions for reducing internalized stigma among people with severe mental illness (PROSPERO: CRD42023418561).
5.Ultrasound Findings Suggestive of Malignancy in Thyroid Nodules Classified as Follicular Lesion of Undetermined Significance or Follicular Neoplasm based on the 2017 Bethesda System for Reporting Thyroid Cytopathology
Heui Jin JUNG ; Na Lae EUN ; Eun Ju SON ; Jeong-Ah KIM ; Ji Hyun YOUK ; Hye Sun LEE ; Soyoung JEON
Journal of the Korean Society of Radiology 2025;86(1):114-126
Purpose:
To identify US findings suggestive of malignancy in thyroid nodules with follicular lesions of undetermined significance (FLUS) or follicular neoplasm (FN) on fine-needle aspiration cytology (FNAC) and evaluate the diagnostic performance.
Materials and Methods:
Seventy FLUS (n = 57) or FN (n = 13) nodules on FNAC that underwent surgical excision between February 2018 and November 2020 were selected. US findings were retrospectively reviewed. Orientation, margin, echogenicity, calcification, additional findings of the rim, echogenicity, heterogeneity of the solid portion, and the ratio of anterior posterior diameter to lateral diameter (criteria) were assessed. The diagnostic performances of US findings, criteria, and the Korean Society of Thyroid Radiology Thyroid Imaging Reporting and Data System (K-TIRADS) were evaluated using logistic regression analysis.
Results:
Microcalcification, homogeneous solid echotexture, and thickened rims were suggestive of malignancy. Our criteria showed a highest area under the ROC curve (AUC) value of 0.771, sensitivity of 97.14%, accuracy of 77.14%, positive predictive value of 93.33%, negative predictive value of 95.24%, and specificity of 97.14%. The criteria showed a significantly higher AUC value than K-TIRADS.
Conclusion
US findings of homogenous solid portions, thick rims, and microcalcifications suggested malignancy in nodules with FLUS or FN on FNAC. These additional US findings could improve the diagnostic performance of K-TIRADS.
6.Ultrasound Findings Suggestive of Malignancy in Thyroid Nodules Classified as Follicular Lesion of Undetermined Significance or Follicular Neoplasm based on the 2017 Bethesda System for Reporting Thyroid Cytopathology
Heui Jin JUNG ; Na Lae EUN ; Eun Ju SON ; Jeong-Ah KIM ; Ji Hyun YOUK ; Hye Sun LEE ; Soyoung JEON
Journal of the Korean Society of Radiology 2025;86(1):114-126
Purpose:
To identify US findings suggestive of malignancy in thyroid nodules with follicular lesions of undetermined significance (FLUS) or follicular neoplasm (FN) on fine-needle aspiration cytology (FNAC) and evaluate the diagnostic performance.
Materials and Methods:
Seventy FLUS (n = 57) or FN (n = 13) nodules on FNAC that underwent surgical excision between February 2018 and November 2020 were selected. US findings were retrospectively reviewed. Orientation, margin, echogenicity, calcification, additional findings of the rim, echogenicity, heterogeneity of the solid portion, and the ratio of anterior posterior diameter to lateral diameter (criteria) were assessed. The diagnostic performances of US findings, criteria, and the Korean Society of Thyroid Radiology Thyroid Imaging Reporting and Data System (K-TIRADS) were evaluated using logistic regression analysis.
Results:
Microcalcification, homogeneous solid echotexture, and thickened rims were suggestive of malignancy. Our criteria showed a highest area under the ROC curve (AUC) value of 0.771, sensitivity of 97.14%, accuracy of 77.14%, positive predictive value of 93.33%, negative predictive value of 95.24%, and specificity of 97.14%. The criteria showed a significantly higher AUC value than K-TIRADS.
Conclusion
US findings of homogenous solid portions, thick rims, and microcalcifications suggested malignancy in nodules with FLUS or FN on FNAC. These additional US findings could improve the diagnostic performance of K-TIRADS.
7.Effectiveness of non-pharmacological interventions to reduce internalized stigma in people with severe mental illness: a systematic review and meta-analysis
Soyoung KIM ; Sun Hyoung BAE ; Myung-Sun HYUN
Journal of Korean Academy of Nursing 2025;55(1):1-18
Purpose:
This study systematically reviewed and analyzed the effects of non-pharmacological interventions on internalized stigma among people with severe mental illness.
Methods:
A systematic review and meta-analysis were conducted following the Cochrane Intervention Research Systematic Review Manual and Preferred Reporting Items for Systematic Review and Meta-Analysis guidelines. This study targeted people with severe mental illness as the population, interventions aimed at reducing internalized stigma, comparisons with control groups, and internalized stigma as the outcome. A literature search was performed across multiple databases, including PubMed, EMBASE, the Cochrane Library, CINAHL, PsycArticles, RISS, KMbase, and KoreaMed. The risk of bias was evaluated using the Cochrane Risk of Bias 2.0 tool. Effect sizes were computed using Hedges’s g, and subgroup analyses were conducted with Comprehensive Meta-Analysis software version 4.0.
Results:
Of 2,388 papers, 15 were included in the meta-analysis. The overall effect size (Hedges’s g) of the intervention was –0.60 (95% confidence interval, –1.01 to –0.19), indicating a statistically significant reduction in internalized stigma (Z=–2.88, p=.004). Subgroup analyses revealed that the intervention type (p=.008) and session length (p=.011) were significant moderators influencing the effectiveness of the interventions.
Conclusion
Tailoring interventions by considering variables such as the intervention type and session length could enhance the effectiveness of non-pharmacological interventions for reducing internalized stigma among people with severe mental illness (PROSPERO: CRD42023418561).
8.Effectiveness of non-pharmacological interventions to reduce internalized stigma in people with severe mental illness: a systematic review and meta-analysis
Soyoung KIM ; Sun Hyoung BAE ; Myung-Sun HYUN
Journal of Korean Academy of Nursing 2025;55(1):1-18
Purpose:
This study systematically reviewed and analyzed the effects of non-pharmacological interventions on internalized stigma among people with severe mental illness.
Methods:
A systematic review and meta-analysis were conducted following the Cochrane Intervention Research Systematic Review Manual and Preferred Reporting Items for Systematic Review and Meta-Analysis guidelines. This study targeted people with severe mental illness as the population, interventions aimed at reducing internalized stigma, comparisons with control groups, and internalized stigma as the outcome. A literature search was performed across multiple databases, including PubMed, EMBASE, the Cochrane Library, CINAHL, PsycArticles, RISS, KMbase, and KoreaMed. The risk of bias was evaluated using the Cochrane Risk of Bias 2.0 tool. Effect sizes were computed using Hedges’s g, and subgroup analyses were conducted with Comprehensive Meta-Analysis software version 4.0.
Results:
Of 2,388 papers, 15 were included in the meta-analysis. The overall effect size (Hedges’s g) of the intervention was –0.60 (95% confidence interval, –1.01 to –0.19), indicating a statistically significant reduction in internalized stigma (Z=–2.88, p=.004). Subgroup analyses revealed that the intervention type (p=.008) and session length (p=.011) were significant moderators influencing the effectiveness of the interventions.
Conclusion
Tailoring interventions by considering variables such as the intervention type and session length could enhance the effectiveness of non-pharmacological interventions for reducing internalized stigma among people with severe mental illness (PROSPERO: CRD42023418561).
10.Novel Deep Learning-Based Vocal Biomarkers for Stress Detection in Koreans
Junghyun NAMKUNG ; Seok Min KIM ; Won Ik CHO ; So Young YOO ; Beomjun MIN ; Sang Yool LEE ; Ji-Hye LEE ; Heyeon PARK ; Soyoung BAIK ; Je-Yeon YUN ; Nam Soo KIM ; Jeong-Hyun KIM
Psychiatry Investigation 2024;21(11):1228-1237
Objective:
The rapid societal changes have underscored the importance of effective stress detection and management. Chronic mental stress significantly contributes to both physical and psychological illnesses. However, many individuals often remain unaware of their stress levels until they face physical health issues, highlighting the necessity for regular stress monitoring. This study aimed to investigate the effectiveness of vocal biomarkers in detecting stress levels among healthy Korean employees and to contribute to digital healthcare solutions.
Methods:
We conducted a multi-center clinical study by collecting voice recordings from 115 healthy Korean employees under both relaxed and stress-induced conditions. Stress was induced using the socially evaluated cold pressor test. The Emphasized Channel Attention, Propagation and Aggregation in Time delay neural network (ECAPA-TDNN) deep learning architecture, renowned for its advanced capabilities in analyzing person-specific voice features, was employed to develop stress prediction scores.
Results:
The proposed model achieved a 70% accuracy rate in detecting stress. This performance underscores the potential of vocal biomarkers as a convenient and effective tool for individuals to self-monitor and manage their stress levels within digital healthcare frameworks.
Conclusion
The findings emphasize the promise of voice-based mental stress assessments within the Korean population and the importance of continued research on vocal biomarkers across diverse linguistic demographics.

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