1.Palliative Care and Hospice for Heart Failure Patients: Position Statement From the Korean Society of Heart Failure
Seung-Mok LEE ; Hae-Young LEE ; Shin Hye YOO ; Hyun-Jai CHO ; Jong-Chan YOUN ; Seong-Mi PARK ; Jin-Ok JEONG ; Min-Seok KIM ; Chi Young SHIM ; Jin Joo PARK ; Kye Hun KIM ; Eung Ju KIM ; Jeong Hoon YANG ; Jae Yeong CHO ; Sang-Ho JO ; Kyung-Kuk HWANG ; Ju-Hee LEE ; In-Cheol KIM ; Gi Beom KIM ; Jung Hyun CHOI ; Sung-Hee SHIN ; Wook-Jin CHUNG ; Seok-Min KANG ; Myeong Chan CHO ; Dae-Gyun PARK ; Byung-Su YOO
International Journal of Heart Failure 2025;7(1):32-46
Heart failure (HF) is a major cause of mortality and morbidity in South Korea, imposing substantial physical, emotional, and financial burdens on patients and society. Despite the high burden of symptom and complex care needs of HF patients, palliative care and hospice services remain underutilized in South Korea due to cultural, institutional, and knowledge-related barriers. This position statement from the Korean Society of Heart Failure emphasizes the need for integrating palliative and hospice care into HF management to improve quality of life and support holistic care for patients and their families. By clarifying the role of palliative care in HF and proposing practical referral criteria, this position statement aims to bridge the gap between HF and palliative care services in South Korea, ultimately improving patient-centered outcomes and aligning treatment with the goals and values of HF patients.
2.List of occupational diseases among farmers in Korea: a literature review
Hansoo SONG ; Seok-Ju YOO ; Won-Ju PARK ; Seunghyeon CHO ; Ki Soo PARK ; Joo Hyun SUNG ; Sang Jin PARK ; Seong-yong YOON ; Kyeongsoo KIM ; Dong-phil CHOI ; Hye-min KIM ; Bounggyun JU ; Kanwoo YOUN
Annals of Occupational and Environmental Medicine 2025;37(1):e2-
A comprehensive list of occupational diseases among farmers is crucial for both compensation and prevention efforts. In Korea, most farmers are self-employed, and some occupational diseases are compensated through farmer safety insurance. However, it is not harmonized with industrial accident compensation insurance and does not adequately reflect the true burden of occupational diseases among farmers. To address this gap, the authors compiled a list of occupational diseases tailored to Korean farmers by reviewing the International Labor Organization’s list of occupational diseases, the Korean Industrial Accident Compensation Insurance List, the occupational disease lists of other countries, and relevant literature on farmers’ work-related diseases.
3.List of occupational diseases among farmers in Korea: a literature review
Hansoo SONG ; Seok-Ju YOO ; Won-Ju PARK ; Seunghyeon CHO ; Ki Soo PARK ; Joo Hyun SUNG ; Sang Jin PARK ; Seong-yong YOON ; Kyeongsoo KIM ; Dong-phil CHOI ; Hye-min KIM ; Bounggyun JU ; Kanwoo YOUN
Annals of Occupational and Environmental Medicine 2025;37(1):e2-
A comprehensive list of occupational diseases among farmers is crucial for both compensation and prevention efforts. In Korea, most farmers are self-employed, and some occupational diseases are compensated through farmer safety insurance. However, it is not harmonized with industrial accident compensation insurance and does not adequately reflect the true burden of occupational diseases among farmers. To address this gap, the authors compiled a list of occupational diseases tailored to Korean farmers by reviewing the International Labor Organization’s list of occupational diseases, the Korean Industrial Accident Compensation Insurance List, the occupational disease lists of other countries, and relevant literature on farmers’ work-related diseases.
4.Trigeminal Neuralgia with Persistent Trigeminal Artery Variant and Schwannomatosis of the Abducens and Lower Cranial Nerves:A Case Report
Seong Gwang KIM ; Hye Jeong CHOI ; Kyung Gi CHO ; Jung Youn KIM ; Sang Heum KIM
Journal of the Korean Society of Radiology 2025;86(1):185-190
Multiple cranial neuropathies are complex neurological disorders that present significant treatment challenges due to their intricate and multifaceted underlying causes. Persistent trigeminal artery variant (PTAV) is an unusual anastomosis that connects the internal carotid artery to the cerebellar artery, bypassing the basilar artery. The incidence of PTAVs is approximately 0.18% and neurovascular compression is rarely reported. Patients with schwannomatosis typically have multiple schwannomas without vestibular nerve involvement, which may develop in the spinal nerve roots and, less commonly, in the cranial nerves. We report the case of a 53-year-old female with trigeminal neuralgia associated with PTAV and schwannomatosis in the abducens and lower cranial nerves as dual etiologies for multiple cranial neuropathies.
5.Trigeminal Neuralgia with Persistent Trigeminal Artery Variant and Schwannomatosis of the Abducens and Lower Cranial Nerves:A Case Report
Seong Gwang KIM ; Hye Jeong CHOI ; Kyung Gi CHO ; Jung Youn KIM ; Sang Heum KIM
Journal of the Korean Society of Radiology 2025;86(1):185-190
Multiple cranial neuropathies are complex neurological disorders that present significant treatment challenges due to their intricate and multifaceted underlying causes. Persistent trigeminal artery variant (PTAV) is an unusual anastomosis that connects the internal carotid artery to the cerebellar artery, bypassing the basilar artery. The incidence of PTAVs is approximately 0.18% and neurovascular compression is rarely reported. Patients with schwannomatosis typically have multiple schwannomas without vestibular nerve involvement, which may develop in the spinal nerve roots and, less commonly, in the cranial nerves. We report the case of a 53-year-old female with trigeminal neuralgia associated with PTAV and schwannomatosis in the abducens and lower cranial nerves as dual etiologies for multiple cranial neuropathies.
6.List of occupational diseases among farmers in Korea: a literature review
Hansoo SONG ; Seok-Ju YOO ; Won-Ju PARK ; Seunghyeon CHO ; Ki Soo PARK ; Joo Hyun SUNG ; Sang Jin PARK ; Seong-yong YOON ; Kyeongsoo KIM ; Dong-phil CHOI ; Hye-min KIM ; Bounggyun JU ; Kanwoo YOUN
Annals of Occupational and Environmental Medicine 2025;37(1):e2-
A comprehensive list of occupational diseases among farmers is crucial for both compensation and prevention efforts. In Korea, most farmers are self-employed, and some occupational diseases are compensated through farmer safety insurance. However, it is not harmonized with industrial accident compensation insurance and does not adequately reflect the true burden of occupational diseases among farmers. To address this gap, the authors compiled a list of occupational diseases tailored to Korean farmers by reviewing the International Labor Organization’s list of occupational diseases, the Korean Industrial Accident Compensation Insurance List, the occupational disease lists of other countries, and relevant literature on farmers’ work-related diseases.
7.Trigeminal Neuralgia with Persistent Trigeminal Artery Variant and Schwannomatosis of the Abducens and Lower Cranial Nerves:A Case Report
Seong Gwang KIM ; Hye Jeong CHOI ; Kyung Gi CHO ; Jung Youn KIM ; Sang Heum KIM
Journal of the Korean Society of Radiology 2025;86(1):185-190
Multiple cranial neuropathies are complex neurological disorders that present significant treatment challenges due to their intricate and multifaceted underlying causes. Persistent trigeminal artery variant (PTAV) is an unusual anastomosis that connects the internal carotid artery to the cerebellar artery, bypassing the basilar artery. The incidence of PTAVs is approximately 0.18% and neurovascular compression is rarely reported. Patients with schwannomatosis typically have multiple schwannomas without vestibular nerve involvement, which may develop in the spinal nerve roots and, less commonly, in the cranial nerves. We report the case of a 53-year-old female with trigeminal neuralgia associated with PTAV and schwannomatosis in the abducens and lower cranial nerves as dual etiologies for multiple cranial neuropathies.
8.Evaluation of different designs of 3D printed clear aligners on mandibular premolar extrusion using force/moment measurement devices and digital image correlation method
Jong-Chan BAIK ; Youn-Kyung CHOI ; Yonghun CHO ; Yunju BAEK ; Sung-Hun KIM ; Seong-Sik KIM ; Soo-Byung PARK ; Ki Beom KIM ; Yong-Il KIM
The Korean Journal of Orthodontics 2024;54(6):359-373
Objective:
This study aimed to investigate the effect of three-dimensional (3D) printed clear aligners (CA) with different designs on the extrusion of mandibular premolars using a force/moment measurement system and digital image correlation (DIC).
Methods:
The forces and moments applied to the mandibular canines, first and second premolars were measured using a multi-axis force/ moment transducer when an extrusion of 0.5 mm was planned, assuming the mandibular first premolars were intruded by 1 mm. In addition, displacement and strain changes in the CA were analyzed using the DIC method. CA designs were categorized based on the presence of first premolar attachment and subdivided into equigingival margins, 1-mm extended margins, equi-margins with 1-mm thickness and height, and equi-margins with 1-mm reduced buccolingual width.The CA was printed directly at a thickness of 0.5 mm, and the experiments were conducted at 37°C.
Results:
The results showed that attachment played an important role in the extrusion of first premolars in both the force/moment measurement system and the DIC method. Intrusion was observed without attachment, even though extrusion was planned. CA designs apply greater force to the cervical region by extending the margin or reducing the buccolingual width, thereby improving extrusion efficiency.
Conclusions
Force and moment changes in direct 3D printed CA are complex and difficult to predict; however, modifying aligner designs, such as extending the margin or reducing buccolingual width, and using appropriate attachments could minimize unwanted tooth movement, optimize planned treatment, and increase treatment predictability.
9.Occupation classification model based on DistilKoBERT: using the 5th and 6th Korean Working Condition Surveys
Tae-Yeon KIM ; Seong-Uk BAEK ; Myeong-Hun LIM ; Byungyoon YUN ; Domyung PAEK ; Kyung Ehi ZOH ; Kanwoo YOUN ; Yun Keun LEE ; Yangho KIM ; Jungwon KIM ; Eunsuk CHOI ; Mo-Yeol KANG ; YoonHo CHO ; Kyung-Eun LEE ; Juho SIM ; Juyeon OH ; Heejoo PARK ; Jian LEE ; Jong-Uk WON ; Yu-Min LEE ; Jin-Ha YOON
Annals of Occupational and Environmental Medicine 2024;36(1):e19-
Accurate occupation classification is essential in various fields, including policy development and epidemiological studies. This study aims to develop an occupation classification model based on DistilKoBERT. This study used data from the 5th and 6th Korean Working Conditions Surveys conducted in 2017 and 2020, respectively. A total of 99,665 survey participants, who were nationally representative of Korean workers, were included. We used natural language responses regarding their job responsibilities and occupational codes based on the Korean Standard Classification of Occupations (7th version, 3-digit codes). The dataset was randomly split into training and test datasets in a ratio of 7:3. The occupation classification model based on DistilKoBERT was fine-tuned using the training dataset, and the model was evaluated using the test dataset. The accuracy, precision, recall, and F1 score were calculated as evaluation metrics. The final model, which classified 28,996 survey participants in the test dataset into 142 occupational codes, exhibited an accuracy of 84.44%. For the evaluation metrics, the precision, recall, and F1 score of the model, calculated by weighting based on the sample size, were 0.83, 0.84, and 0.83, respectively. The model demonstrated high precision in the classification of service and sales workers yet exhibited low precision in the classification of managers. In addition, it displayed high precision in classifying occupations prominently represented in the training dataset. This study developed an occupation classification system based on DistilKoBERT, which demonstrated reasonable performance. Despite further efforts to enhance the classification accuracy, this automated occupation classification model holds promise for advancing epidemiological studies in the fields of occupational safety and health.
10.Occupation classification model based on DistilKoBERT: using the 5th and 6th Korean Working Condition Surveys
Tae-Yeon KIM ; Seong-Uk BAEK ; Myeong-Hun LIM ; Byungyoon YUN ; Domyung PAEK ; Kyung Ehi ZOH ; Kanwoo YOUN ; Yun Keun LEE ; Yangho KIM ; Jungwon KIM ; Eunsuk CHOI ; Mo-Yeol KANG ; YoonHo CHO ; Kyung-Eun LEE ; Juho SIM ; Juyeon OH ; Heejoo PARK ; Jian LEE ; Jong-Uk WON ; Yu-Min LEE ; Jin-Ha YOON
Annals of Occupational and Environmental Medicine 2024;36(1):e19-
Accurate occupation classification is essential in various fields, including policy development and epidemiological studies. This study aims to develop an occupation classification model based on DistilKoBERT. This study used data from the 5th and 6th Korean Working Conditions Surveys conducted in 2017 and 2020, respectively. A total of 99,665 survey participants, who were nationally representative of Korean workers, were included. We used natural language responses regarding their job responsibilities and occupational codes based on the Korean Standard Classification of Occupations (7th version, 3-digit codes). The dataset was randomly split into training and test datasets in a ratio of 7:3. The occupation classification model based on DistilKoBERT was fine-tuned using the training dataset, and the model was evaluated using the test dataset. The accuracy, precision, recall, and F1 score were calculated as evaluation metrics. The final model, which classified 28,996 survey participants in the test dataset into 142 occupational codes, exhibited an accuracy of 84.44%. For the evaluation metrics, the precision, recall, and F1 score of the model, calculated by weighting based on the sample size, were 0.83, 0.84, and 0.83, respectively. The model demonstrated high precision in the classification of service and sales workers yet exhibited low precision in the classification of managers. In addition, it displayed high precision in classifying occupations prominently represented in the training dataset. This study developed an occupation classification system based on DistilKoBERT, which demonstrated reasonable performance. Despite further efforts to enhance the classification accuracy, this automated occupation classification model holds promise for advancing epidemiological studies in the fields of occupational safety and health.

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