Objective: To classify life stages for companion dogs and cats by identifying clusters in age-specific disease proportions derived from medical records, providing a data-driven foundation for health examination programs. Methods: We collected 505,667 medical records from 82 veterinary facilities in South Korea between 2020 and 2023. Diagnoses were standardized using GPT-4o and S-BioBERT. Following preprocessing, data from 27 facilities yielded 222,706 canine and 39,910 feline records for the final analysis. Principal component analysis and K-means clustering (K = 4) were applied to age-specific disease proportions to identify life stages.The 10 most highest-proportion diagnoses diseases were determined for each cluster. Results: Canine life stages were classified as ≤ 1 year, 2–5 years, 6–10 years, and 11–15+ years.Feline life stages were 1–2 years, 3–8 years, 9–12 years, and 13–15+ years. In dogs, developmental diseases were common in the youngest age group, while chronic diseases were more prevalent in older groups. In cats, oral and urinary diseases were high-ranking, conjunctivitis was most common in the early stage, and chronic diseases increased with age. Conclusions and Relevance: Age-specific diagnosis patterns support four practical life stages for dogs and cats in South Korea. These boundaries can inform evidence-based preventive examination schedules, animal health policy, and pet insurance product design.

Background: and Purpose The National Brain Biobank of Korea (NBBK) is a brain bank consortium supported by the Korea Disease Control and Prevention Agency and the Korea National Institute of Health, and was launched in 2015 to support research into neurodegenerative disease dementia (NDD). This study aimed to introduce the NBBK and describes clinicopathological correlations based on analyses of data collected from the NBBK. Methods: Four hospital-based brain banks have been established in South Korea: Samsung Medical Center Brain Bank (SMCBB), Seoul National University Hospital Brain Bank (SNUHBB), Pusan National University Hospital Brain Bank (PNUHBB), and Myongji Hospital Brain Bank (MJHBB). Clinical and pathological data were collected from these brain banks using standardized protocols. The prevalence rates of clinical and pathological diagnoses were analyzed in order to characterize the clinicopathological correlations. Results: Between August 2016 and December 2023, 185 brain specimens were collected and pathologically evaluated (SNUHBB: 117; PNUHBB: 27; SMCBB: 34; MJHBB: 7). The age at consent was 70.8±12.6 years, and the age at autopsy was 71.7±12.4 years. The four-most-common clinical diagnoses were Alzheimer’s disease (AD) dementia (20.0%), idiopathic Parkinson’s disease (15.1%), unspecified dementia (11.9%), and cognitively unimpaired (CU) (11.4%).Most cases of unspecified dementia had a pathological diagnosis of central nervous system (CNS) vasculopathy (31.8%) or AD (31.8%). Remarkably, only 14.2% of CU cases had normal pathological findings. The three-most-common pathological diagnoses were AD (26.5%), CNS vasculopathy (14.1%), and Lewy body disease (13.5%). Conclusions These clinical and neuropathological findings provide a deeper understanding of the mechanisms underlying NDD in South Korea.

Background: and Purpose The National Brain Biobank of Korea (NBBK) is a brain bank consortium supported by the Korea Disease Control and Prevention Agency and the Korea National Institute of Health, and was launched in 2015 to support research into neurodegenerative disease dementia (NDD). This study aimed to introduce the NBBK and describes clinicopathological correlations based on analyses of data collected from the NBBK. Methods: Four hospital-based brain banks have been established in South Korea: Samsung Medical Center Brain Bank (SMCBB), Seoul National University Hospital Brain Bank (SNUHBB), Pusan National University Hospital Brain Bank (PNUHBB), and Myongji Hospital Brain Bank (MJHBB). Clinical and pathological data were collected from these brain banks using standardized protocols. The prevalence rates of clinical and pathological diagnoses were analyzed in order to characterize the clinicopathological correlations. Results: Between August 2016 and December 2023, 185 brain specimens were collected and pathologically evaluated (SNUHBB: 117; PNUHBB: 27; SMCBB: 34; MJHBB: 7). The age at consent was 70.8±12.6 years, and the age at autopsy was 71.7±12.4 years. The four-most-common clinical diagnoses were Alzheimer’s disease (AD) dementia (20.0%), idiopathic Parkinson’s disease (15.1%), unspecified dementia (11.9%), and cognitively unimpaired (CU) (11.4%).Most cases of unspecified dementia had a pathological diagnosis of central nervous system (CNS) vasculopathy (31.8%) or AD (31.8%). Remarkably, only 14.2% of CU cases had normal pathological findings. The three-most-common pathological diagnoses were AD (26.5%), CNS vasculopathy (14.1%), and Lewy body disease (13.5%). Conclusions These clinical and neuropathological findings provide a deeper understanding of the mechanisms underlying NDD in South Korea.

Background: and Purpose The National Brain Biobank of Korea (NBBK) is a brain bank consortium supported by the Korea Disease Control and Prevention Agency and the Korea National Institute of Health, and was launched in 2015 to support research into neurodegenerative disease dementia (NDD). This study aimed to introduce the NBBK and describes clinicopathological correlations based on analyses of data collected from the NBBK. Methods: Four hospital-based brain banks have been established in South Korea: Samsung Medical Center Brain Bank (SMCBB), Seoul National University Hospital Brain Bank (SNUHBB), Pusan National University Hospital Brain Bank (PNUHBB), and Myongji Hospital Brain Bank (MJHBB). Clinical and pathological data were collected from these brain banks using standardized protocols. The prevalence rates of clinical and pathological diagnoses were analyzed in order to characterize the clinicopathological correlations. Results: Between August 2016 and December 2023, 185 brain specimens were collected and pathologically evaluated (SNUHBB: 117; PNUHBB: 27; SMCBB: 34; MJHBB: 7). The age at consent was 70.8±12.6 years, and the age at autopsy was 71.7±12.4 years. The four-most-common clinical diagnoses were Alzheimer’s disease (AD) dementia (20.0%), idiopathic Parkinson’s disease (15.1%), unspecified dementia (11.9%), and cognitively unimpaired (CU) (11.4%).Most cases of unspecified dementia had a pathological diagnosis of central nervous system (CNS) vasculopathy (31.8%) or AD (31.8%). Remarkably, only 14.2% of CU cases had normal pathological findings. The three-most-common pathological diagnoses were AD (26.5%), CNS vasculopathy (14.1%), and Lewy body disease (13.5%). Conclusions These clinical and neuropathological findings provide a deeper understanding of the mechanisms underlying NDD in South Korea.

Background and Objectives: The transformation of pulmonary arterial hypertension (PAH) treatment in Korea, ushered by targeted therapy’s advent, prompted our analysis of baseline attributes, treatment trends, and survival shifts within our single-center registry. Methods: We examined 230 patients (72.6% female, mean age 40.6±17.4 years) diagnosed and/or treated between 1980 and 2021 in our PAH clinic. Given targeted therapy’s introduction and active use since 2007, we compared diagnostic classification, demographics, and treatment patterns at that juncture. Survival analysis encompassed PAH types and the overall population. For historical survival comparison, 50 non-registry patients were retrospectively added, and age-sex matching enabled pooled analysis. Results: Congenital heart disease-associated pulmonary arterial hypertension (CHD-PAH) constituted the largest subset (43.0%), trailed by connective tissue disease-associated PAH (CTD-PAH, 29.6%) and idiopathic PAH (IPAH, 19.1%). Post-2007, CTD-PAH proportions surged, notably with an elevated initiation rate of targeted therapy (95.4%). Overall survival rates at 1, 5, and 10 years stood at 91.3%, 77.4%, and 65.8%, respectively, with CHD-PAH exhibiting superior survival to idiopathic or CTD-PAH. Age-sex matching analysis indicated survival disparities between those starting immediate targeted therapy vs. conservative treatment upon diagnosis, especially driven by IPAH. Conclusions In the post-introduction of the targeted therapy era, patients with PAH promptly started treatment right away, and higher survival rates of patients who started initial PAH-targeted therapy were demonstrated. The transition towards early treatment initiation might have likely contributed to the elevated survival rates observed in Korea’s PAH patient cohort.

Background and Objectives: The transformation of pulmonary arterial hypertension (PAH) treatment in Korea, ushered by targeted therapy’s advent, prompted our analysis of baseline attributes, treatment trends, and survival shifts within our single-center registry. Methods: We examined 230 patients (72.6% female, mean age 40.6±17.4 years) diagnosed and/or treated between 1980 and 2021 in our PAH clinic. Given targeted therapy’s introduction and active use since 2007, we compared diagnostic classification, demographics, and treatment patterns at that juncture. Survival analysis encompassed PAH types and the overall population. For historical survival comparison, 50 non-registry patients were retrospectively added, and age-sex matching enabled pooled analysis. Results: Congenital heart disease-associated pulmonary arterial hypertension (CHD-PAH) constituted the largest subset (43.0%), trailed by connective tissue disease-associated PAH (CTD-PAH, 29.6%) and idiopathic PAH (IPAH, 19.1%). Post-2007, CTD-PAH proportions surged, notably with an elevated initiation rate of targeted therapy (95.4%). Overall survival rates at 1, 5, and 10 years stood at 91.3%, 77.4%, and 65.8%, respectively, with CHD-PAH exhibiting superior survival to idiopathic or CTD-PAH. Age-sex matching analysis indicated survival disparities between those starting immediate targeted therapy vs. conservative treatment upon diagnosis, especially driven by IPAH. Conclusions In the post-introduction of the targeted therapy era, patients with PAH promptly started treatment right away, and higher survival rates of patients who started initial PAH-targeted therapy were demonstrated. The transition towards early treatment initiation might have likely contributed to the elevated survival rates observed in Korea’s PAH patient cohort.

Background and Objectives: The transformation of pulmonary arterial hypertension (PAH) treatment in Korea, ushered by targeted therapy’s advent, prompted our analysis of baseline attributes, treatment trends, and survival shifts within our single-center registry. Methods: We examined 230 patients (72.6% female, mean age 40.6±17.4 years) diagnosed and/or treated between 1980 and 2021 in our PAH clinic. Given targeted therapy’s introduction and active use since 2007, we compared diagnostic classification, demographics, and treatment patterns at that juncture. Survival analysis encompassed PAH types and the overall population. For historical survival comparison, 50 non-registry patients were retrospectively added, and age-sex matching enabled pooled analysis. Results: Congenital heart disease-associated pulmonary arterial hypertension (CHD-PAH) constituted the largest subset (43.0%), trailed by connective tissue disease-associated PAH (CTD-PAH, 29.6%) and idiopathic PAH (IPAH, 19.1%). Post-2007, CTD-PAH proportions surged, notably with an elevated initiation rate of targeted therapy (95.4%). Overall survival rates at 1, 5, and 10 years stood at 91.3%, 77.4%, and 65.8%, respectively, with CHD-PAH exhibiting superior survival to idiopathic or CTD-PAH. Age-sex matching analysis indicated survival disparities between those starting immediate targeted therapy vs. conservative treatment upon diagnosis, especially driven by IPAH. Conclusions In the post-introduction of the targeted therapy era, patients with PAH promptly started treatment right away, and higher survival rates of patients who started initial PAH-targeted therapy were demonstrated. The transition towards early treatment initiation might have likely contributed to the elevated survival rates observed in Korea’s PAH patient cohort.

Background and Objectives: The transformation of pulmonary arterial hypertension (PAH) treatment in Korea, ushered by targeted therapy’s advent, prompted our analysis of baseline attributes, treatment trends, and survival shifts within our single-center registry. Methods: We examined 230 patients (72.6% female, mean age 40.6±17.4 years) diagnosed and/or treated between 1980 and 2021 in our PAH clinic. Given targeted therapy’s introduction and active use since 2007, we compared diagnostic classification, demographics, and treatment patterns at that juncture. Survival analysis encompassed PAH types and the overall population. For historical survival comparison, 50 non-registry patients were retrospectively added, and age-sex matching enabled pooled analysis. Results: Congenital heart disease-associated pulmonary arterial hypertension (CHD-PAH) constituted the largest subset (43.0%), trailed by connective tissue disease-associated PAH (CTD-PAH, 29.6%) and idiopathic PAH (IPAH, 19.1%). Post-2007, CTD-PAH proportions surged, notably with an elevated initiation rate of targeted therapy (95.4%). Overall survival rates at 1, 5, and 10 years stood at 91.3%, 77.4%, and 65.8%, respectively, with CHD-PAH exhibiting superior survival to idiopathic or CTD-PAH. Age-sex matching analysis indicated survival disparities between those starting immediate targeted therapy vs. conservative treatment upon diagnosis, especially driven by IPAH. Conclusions In the post-introduction of the targeted therapy era, patients with PAH promptly started treatment right away, and higher survival rates of patients who started initial PAH-targeted therapy were demonstrated. The transition towards early treatment initiation might have likely contributed to the elevated survival rates observed in Korea’s PAH patient cohort.

Purpose: To determine the risk of incidence, prevalence, survival, and death risk for Marfan syndrome (MFS) in Korea. Methods: MFS (10th revision of the International Statistical Classification of Diseases [ICD-10] code: Q87.4) data were collected from the Korea National Health Insurance Service between 2006 and 2017. Simple and multiple Cox proportional hazards analyses were performed. The death data of Koreans from 2006 to 2018 were used. Results: The mean age of patients with MFS was 27.2± 16.8 years, 26.5± 15.9 years for males and 28.2± 18.1 years for females (P < 0.01), and the proportion of males was 59.5%. The age-standardized incidence and prevalence in 2017 were 0.51 and 5.70 per 100,000 persons, respectively. The 10-year survival rate was 92.7%. Adjusted hazard ratio increased significantly with age, male sex, heart failure, ischemic stroke, hemorrhagic stroke, chronic kidney disease, malignant neoplasm, aortic dissection, and abdominal aortic aneurysm. Conclusion Although the overall 10-year survival rate of MFS was over 90%, the adjusted hazard ratio was significantly higher in the older age group, male sex, and individuals with heart failure, stroke, chronic kidney disease, malignant neoplasm, aortic dissection, and abdominal aortic aneurysm. These results suggest the need for meticulous surveillance of aortopathy in patients with MFS, as it may portend a worse prognosis in aortic dissection and aneurysm, and in older age groups with MFS.

Artificial intelligence (AI) in radiology is a rapidly developing field with several prospective clinical studies demonstrating its benefits in clinical practice. In 2022, the Korean Society of Radiology held a forum to discuss the challenges and drawbacks in AI development and implementation. Various barriers hinder the successful application and widespread adoption of AI in radiology, such as limited annotated data, data privacy and security, data heterogeneity, imbalanced data, model interpretability, overfitting, and integration with clinical workflows. In this review, some of the various possible solutions to these challenges are presented and discussed; these include training with longitudinal and multimodal datasets, dense training with multitask learning and multimodal learning, self-supervised contrastive learning, various image modifications and syntheses using generative models, explainable AI, causal learning, federated learning with large data models, and digital twins.