1.Clinical practice guidelines for cervical cancer: an update of the Korean Society of Gynecologic Oncology Guidelines
Ji Geun YOO ; Sung Jong LEE ; Eun Ji NAM ; Jae Hong NO ; Jeong Yeol PARK ; Jae Yun SONG ; So-Jin SHIN ; Bo Seong YUN ; Sung Taek PARK ; San-Hui LEE ; Dong Hoon SUH ; Yong Beom KIM ; Keun Ho LEE
Journal of Gynecologic Oncology 2025;36(1):e70-
We describe the updated Korean Society of Gynecologic Oncology (KSGO) practice guideline for the management of cervical cancer, version 5.1. The KSGO announced the fifth version of its clinical practice guidelines for the management of cervical cancer in March 2024. The selection of the key questions and the systematic reviews were based on data available up to December 2022. Between 2023 and 2024, substantial findings from large-scale clinical trials and new advancements in cervical cancer research remarkably emerged. Therefore, based on the existing version 5.0, we updated the guidelines with newly accumulated clinical data and added 4 new key questions reflecting the latest insights in the field of cervical cancer. For each question, recommendation was formulated with corresponding level of evidence and grade of recommendation, all established through expert consensus.
2.Clinical practice guidelines for cervical cancer: an update of the Korean Society of Gynecologic Oncology Guidelines
Ji Geun YOO ; Sung Jong LEE ; Eun Ji NAM ; Jae Hong NO ; Jeong Yeol PARK ; Jae Yun SONG ; So-Jin SHIN ; Bo Seong YUN ; Sung Taek PARK ; San-Hui LEE ; Dong Hoon SUH ; Yong Beom KIM ; Keun Ho LEE
Journal of Gynecologic Oncology 2025;36(1):e70-
We describe the updated Korean Society of Gynecologic Oncology (KSGO) practice guideline for the management of cervical cancer, version 5.1. The KSGO announced the fifth version of its clinical practice guidelines for the management of cervical cancer in March 2024. The selection of the key questions and the systematic reviews were based on data available up to December 2022. Between 2023 and 2024, substantial findings from large-scale clinical trials and new advancements in cervical cancer research remarkably emerged. Therefore, based on the existing version 5.0, we updated the guidelines with newly accumulated clinical data and added 4 new key questions reflecting the latest insights in the field of cervical cancer. For each question, recommendation was formulated with corresponding level of evidence and grade of recommendation, all established through expert consensus.
3.Clinical practice guidelines for cervical cancer: an update of the Korean Society of Gynecologic Oncology Guidelines
Ji Geun YOO ; Sung Jong LEE ; Eun Ji NAM ; Jae Hong NO ; Jeong Yeol PARK ; Jae Yun SONG ; So-Jin SHIN ; Bo Seong YUN ; Sung Taek PARK ; San-Hui LEE ; Dong Hoon SUH ; Yong Beom KIM ; Keun Ho LEE
Journal of Gynecologic Oncology 2025;36(1):e70-
We describe the updated Korean Society of Gynecologic Oncology (KSGO) practice guideline for the management of cervical cancer, version 5.1. The KSGO announced the fifth version of its clinical practice guidelines for the management of cervical cancer in March 2024. The selection of the key questions and the systematic reviews were based on data available up to December 2022. Between 2023 and 2024, substantial findings from large-scale clinical trials and new advancements in cervical cancer research remarkably emerged. Therefore, based on the existing version 5.0, we updated the guidelines with newly accumulated clinical data and added 4 new key questions reflecting the latest insights in the field of cervical cancer. For each question, recommendation was formulated with corresponding level of evidence and grade of recommendation, all established through expert consensus.
4.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.
5.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.
6.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.
7.Clinical practice guidelines for cervical cancer: the Korean Society of Gynecologic Oncology guidelines
Ji Geun YOO ; Sung Jong LEE ; Eun Ji NAM ; Jae Hong NO ; Jeong Yeol PARK ; Jae Yun SONG ; So-Jin SHIN ; Bo Seong YUN ; Sung Taek PARK ; San-Hui LEE ; Dong Hoon SUH ; Yong Beom KIM ; Taek Sang LEE ; Jae Man BAE ; Keun Ho LEE
Journal of Gynecologic Oncology 2024;35(2):e44-
This fifth revised version of the Korean Society of Gynecologic Oncology practice guidelines for the management of cervical cancer incorporates recent research findings and changes in treatment strategies based on version 4.0 released in 2020. Each key question was developed by focusing on recent notable insights and crucial contemporary issues in the field of cervical cancer. These questions were evaluated for their significance and impact on the current treatment and were finalized through voting by the development committee. The selected key questions were as follows: the efficacy and safety of immune checkpoint inhibitors as firstor second-line treatment for recurrent or metastatic cervical cancer; the oncologic safety of minimally invasive radical hysterectomy in early stage cervical cancer; the efficacy and safety of adjuvant systemic treatment after concurrent chemoradiotherapy in locally advanced cervical cancer; and the oncologic safety of sentinel lymph node mapping compared to pelvic lymph node dissection. The recommendations, directions, and strengths of this guideline were based on systematic reviews and meta-analyses, and were finally confirmed through public hearings and external reviews. In this study, we describe the revised practice guidelines for the management of cervical cancer.
8.Clinical practice guidelines for cervical cancer: the Korean Society of Gynecologic Oncology guidelines
Ji Geun YOO ; Sung Jong LEE ; Eun Ji NAM ; Jae Hong NO ; Jeong Yeol PARK ; Jae Yun SONG ; So-Jin SHIN ; Bo Seong YUN ; Sung Taek PARK ; San-Hui LEE ; Dong Hoon SUH ; Yong Beom KIM ; Taek Sang LEE ; Jae Man BAE ; Keun Ho LEE
Journal of Gynecologic Oncology 2024;35(2):e44-
This fifth revised version of the Korean Society of Gynecologic Oncology practice guidelines for the management of cervical cancer incorporates recent research findings and changes in treatment strategies based on version 4.0 released in 2020. Each key question was developed by focusing on recent notable insights and crucial contemporary issues in the field of cervical cancer. These questions were evaluated for their significance and impact on the current treatment and were finalized through voting by the development committee. The selected key questions were as follows: the efficacy and safety of immune checkpoint inhibitors as firstor second-line treatment for recurrent or metastatic cervical cancer; the oncologic safety of minimally invasive radical hysterectomy in early stage cervical cancer; the efficacy and safety of adjuvant systemic treatment after concurrent chemoradiotherapy in locally advanced cervical cancer; and the oncologic safety of sentinel lymph node mapping compared to pelvic lymph node dissection. The recommendations, directions, and strengths of this guideline were based on systematic reviews and meta-analyses, and were finally confirmed through public hearings and external reviews. In this study, we describe the revised practice guidelines for the management of cervical cancer.
9.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.
10.Clinical practice guidelines for cervical cancer: the Korean Society of Gynecologic Oncology guidelines
Ji Geun YOO ; Sung Jong LEE ; Eun Ji NAM ; Jae Hong NO ; Jeong Yeol PARK ; Jae Yun SONG ; So-Jin SHIN ; Bo Seong YUN ; Sung Taek PARK ; San-Hui LEE ; Dong Hoon SUH ; Yong Beom KIM ; Taek Sang LEE ; Jae Man BAE ; Keun Ho LEE
Journal of Gynecologic Oncology 2024;35(2):e44-
This fifth revised version of the Korean Society of Gynecologic Oncology practice guidelines for the management of cervical cancer incorporates recent research findings and changes in treatment strategies based on version 4.0 released in 2020. Each key question was developed by focusing on recent notable insights and crucial contemporary issues in the field of cervical cancer. These questions were evaluated for their significance and impact on the current treatment and were finalized through voting by the development committee. The selected key questions were as follows: the efficacy and safety of immune checkpoint inhibitors as firstor second-line treatment for recurrent or metastatic cervical cancer; the oncologic safety of minimally invasive radical hysterectomy in early stage cervical cancer; the efficacy and safety of adjuvant systemic treatment after concurrent chemoradiotherapy in locally advanced cervical cancer; and the oncologic safety of sentinel lymph node mapping compared to pelvic lymph node dissection. The recommendations, directions, and strengths of this guideline were based on systematic reviews and meta-analyses, and were finally confirmed through public hearings and external reviews. In this study, we describe the revised practice guidelines for the management of cervical cancer.

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