Purpose: This study aimed to provide the basic data needed to estimate future urologist supply and demand by applying various statistical models related to healthcare utilization. Materials and Methods: Data from multiple sources, including the Yearbook of Health and Welfare Statistics, Korean Hospital Association, Korean Medical Association, and the Korean Urological Association, were used for supply estimation. Demand estimation incorporated data on both clinical and non-clinical urologists, along with future population estimates. In-and-out moves and demographic methods were employed for supply estimation, while the Bureau of Health Professions model was utilized for demand estimation. Supply estimation assumptions included fixed resident quotas, age-specific death rates, migration rates, and retirement age considerations. Demand estimation assumptions included combining clinical and nonclinical urologist demands, adjusting population size for age-related healthcare usage variations. Urologist productivity was determined by adjusting productivity levels to 100%, 90%, and 80% of the base year based on actual clinical practice volumes. Results: Estimations of both demand and supply consistently indicate an oversupply of urologists until 2025, followed by an expected shortage by 2035 owing to increased deaths and retirements attributed to the aging urologist population. This shortage becomes more pronounced when employing more reliable models, such as logit or ARIMA (autoregressive integrated moving average), underscoring the growing need for urologists in the future. Conclusions All estimation models estimated an oversupply of urologists until 2025, transitioning to a deficit due to reduced supply thereafter. However, considering potential unaccounted factors, greater effort is needed for accurate predictions and corresponding measures.

Purpose: This study compared 3D-T1 high resolution isovolumetric examination (3DTHRIVE) multiplanar reconstruction (MPR) imaging of shoulder magnetic resonance arthrography (MRA) with conventional MR images and validated the diagnostic agreements of isovolumetric MRA with and without compressed sensing (CS). Materials and Methods: Seventy-three patients who underwent shoulder MRA, including image sets of conventional 2D fast spin echo (FSE) sequences and isotropic 3D-THRIVE sequences with and without CS, were evaluated. The CS acceleration factor was set to 1.5.In the first session, MPR images on the 3D-THRIVE sequence with CS were analyzed using current standard 2D FSE sequences in the axial, oblique-coronal, and oblique-sagittal planes. In the second session, 3D-THRIVE sequences with and without CS were compared with respect to image quality and degree of artifacts. Overall image quality scores and artifacts for conventional 2D images and 3D-THRIVE MPR with CS were analyzed using a paired t-test. The diagnostic agreement for pathological lesions of the shoulder in 3DTHRIVE with and without CS was evaluated using intraclass correlation coefficients. Results: CS in the isotropic 3D-THRIVE showed a reduction in scanning time from 104 s (non-CS) to 81 s (CS). The diagnostic agreement between 2D FSE and 3D-THRIVE for shoulder tendon pathologies was excellent for subscapularis, supraspinatus, infraspinatus, and biceps tendons. The inter-rater agreements were excellent, and CS-3D-THRIVE demonstrated excellent diagnostic agreement for certain tendon pathologies compared with 3D-THRIVE without CS. Conclusion CS-accelerated isotropic 3D-THRIVE shoulder MRA can provide diagnostically acceptable images of tendon pathology with a reduced scan time. Shoulder MRI using 3D-THRIVE with CS may replace standard 2D FSE sequences in patients who require rapid imaging.

Background: Epinephrine (EPI) or norepinephrine (NOR) is widely used to treat cardiovascular collapse during lipid emulsion (LE) resuscitation for drug toxicity. However, the effect of LE on the vasoconstriction caused by EPI or NOR remains unknown. The purpose of this study was to examine the effect of an LE (Intralipid) on the vasoconstriction caused by EPI and NOR in isolated rat aorta. Methods: The effect of LE on the vasoconstriction caused by EPI or NOR in isolated rat aorta was examined. Additionally, the effect of LE on the calcium increase caused by EPI or NOR was investigated. The distribution constant (KD: lipid to aqueous phase) of EPI or NOR between a LE (1%) and an aqueous phase was determined. Results: LE (1 and 2%) did not significantly alter vasoconstriction caused by EPI or NOR in isolated endothelium-intact aorta. Moreover, the LE did not significantly alter the increased calcium level caused by EPI or NOR. The log KD of EPI in the LE (1%) was −0.71, −0.99, and −1.00 at 20, 50, and 100 mM ionic strength, respectively. The log KD of NOR in the LE (1%) was −1.22, −1.25, and −0.96 at 20, 50, and 100 mM ionic strength, respectively. Conclusions Taken together, the Intralipid emulsion did not alter vasoconstriction induced by EPI or NOR that seems to be due to the hydrophilicity of EPI or NOR, leading to sustained hemodynamic support produced by EPI or NOR used during LE resuscitation.

Methods: The ensemble AI model is designed and implemented by the Hadoop ecosystem with Kafka/NiFi, Spark/Hive, HUE, and ELK (Elasticsearch, Logstash, Kibana). Results The functional evaluation shows that the main function of this SAP architecture was operated successfully.DiscussionThe proposed model is confirmed to work well with safety mobility gateways to provide some safety applications.

Objectives: This study was conducted to develop a generalizable annotation tool for bilingual complex clinical text annotation, which led to the design and development of a clinical text annotation tool, ANNO. Methods: We designed ANNO to enable human annotators to support the annotation of information in clinical documents efficiently and accurately. First, annotations for different classes (word or phrase types) can be tagged according to the type of word using the dictionary function. In addition, it is possible to evaluate and reconcile differences by comparing annotation results between human annotators. Moreover, if the regular expression set for each class is updated during annotation, it is automatically reflected in the new document. The regular expression set created by human annotators is designed such that a word tagged once is automatically labeled in new documents. Results: Because ANNO is a Docker-based web application, users can use it freely without being subjected to dependency issues. Human annotators can share their annotation markups as regular expression sets with a dictionary structure, and they can cross-check their annotated corpora with each other. The dictionary-based regular expression sharing function, cross-check function for each annotator, and standardized input (Microsoft Excel) and output (extensible markup language [XML]) formats are the main features of ANNO. Conclusions With the growing need for massively annotated clinical data to support the development of machine learning models, we expect ANNO to be helpful to many researchers.

Objectives: De-identifying protected health information (PHI) in medical documents is important, and a prerequisite to deidentification is the identification of PHI entity names in clinical documents. This study aimed to compare the performance of three pre-training models that have recently attracted significant attention and to determine which model is more suitable for PHI recognition. Methods: We compared the PHI recognition performance of deep learning models using the i2b2 2014 dataset. We used the three pre-training models—namely, bidirectional encoder representations from transformers (BERT), robustly optimized BERT pre-training approach (RoBERTa), and XLNet (model built based on Transformer-XL)—to detect PHI. After the dataset was tokenized, it was processed using an inside-outside-beginning tagging scheme and WordPiecetokenized to place it into these models. Further, the PHI recognition performance was investigated using BERT, RoBERTa, and XLNet. Results: Comparing the PHI recognition performance of the three models, it was confirmed that XLNet had a superior F1-score of 96.29%. In addition, when checking PHI entity performance evaluation, RoBERTa and XLNet showed a 30% improvement in performance compared to BERT. Conclusions Among the pre-training models used in this study, XLNet exhibited superior performance because word embedding was well constructed using the two-stream self-attention method. In addition, compared to BERT, RoBERTa and XLNet showed superior performance, indicating that they were more effective in grasping the context.

A 70-year-old female presented with progressive gait disturbance. Neurologic examination revealed sensory impairment, hyporeflexia, and sensory ataxia. Nerve conduction study demonstrated mildly decreased velocity in motor nerves. Brain magnetic resonance imaging showed high signal intensities in the corticomedullary junction on diffusion weighted imaging. Neurocognitive function test implied mild cognitive impairment. Based on eosinophilic intranuclear inclusions in pathology, neuronal intranuclear inclusion disease was confirmed. Neuronal intranuclear inclusion needs to be considered when abnormal nerve conduction studies are consistent with abnormal brain imaging findings.

Objective: To elucidate whether clinical features and the weighted genetic risk score (wGRS) were associated with the presence of lupus nephritis (LN). Methods: We retrospectively divided patients with systemic lupus erythematosus (SLE, n=1,078) into biopsy-proven LN (n=507) and non-LN groups (non-LN, n=571). Baseline clinical features, serologic markers, and the wGRS were collected. The wGRS was calculated from 112 non-human leukocyte antigen (non-HLA) loci and HLA-DRβ1 amino acid haplotypes for SLE. Associations among clinical features, wGRS, and the presence of LN were identified. Results: In the multivariate analysis, patients with LN were younger at diagnosis (odds ratio [OR]=0.97, p＜0.001), had more pleuritis (OR=2.44, p＜0.001) and pericarditis (OR=1.62, p=0.029), had a higher detection rate of anti-double stranded deoxyribonucleic acid (anti-dsDNA antibodies, OR=2.22, p＜0.001), anti-Smith antibodies (anti-Sm antibodies, OR=1.70, p=0.002), low level of complement (OR=1.37, p=0.043) and absence of antiphospholipid antibodies (aPL antibodies, OR=1.60, p=0.002), and had higher wGRS (OR=1.16, p=0.012). Mediation analysis suggested that anti-Sm antibodies and low complement could be mediators in the relationship between high wGRS and the presence of LN. Conclusion Onset age, pleuritis, pericarditis, several serologic markers, and wGRS were associated with the presence of LN. Anti-Sm antibodies and low complement appeared to mediate the indirect relationship between wGRS and the presence of LN.

Objective: Gambling disorder (GD) patients have a higher suicide risk compared to the general population. The present study investigates the suicide-related risk factors of GD patients by analyzing GD diagnosis-related symptoms and suicide-related behaviors of subjects. Methods: This study investigated which symptoms among GD diagnosis criteria are related to suicide risk in 142 patients diagnosed with GD. To analyze the relationship between GD symptoms and suicidal ideation and suicide attempt, the odds ratio (OR) was determined through multivariate logistic regression. Results: The number of symptoms was significantly higher in the subjects who had suicidal ideation group and attempt group. In the cases of past suicide attempts, responses to withdrawal and escape questions were significantly higher; in the cases of ongoing suicidal ideation, responses to negative consequences and bailout questions were significantly higher. When depression was corrected, the ‘bailout’ item was, indicating that ‘bailout’ increased suicidal ideation (OR=4.937, 95% CI=1.009–24.164). In the suicide attempt group, ‘relieve’ item may increase suicide attempt (OR=6.978, 95% CI=1.300–35.562). Conclusion Past suicide attempts in GD patients correlated with withdrawal symptoms, and financial problem correlated with suicidal ideation. This suggests that evaluating suicide risk is important when evaluating GD patients, and evaluation of financial problems is important for GD patients with suicide risks.

Objective: To elucidate whether clinical features and the weighted genetic risk score (wGRS) were associated with the presence of lupus nephritis (LN). Methods: We retrospectively divided patients with systemic lupus erythematosus (SLE, n=1,078) into biopsy-proven LN (n=507) and non-LN groups (non-LN, n=571). Baseline clinical features, serologic markers, and the wGRS were collected. The wGRS was calculated from 112 non-human leukocyte antigen (non-HLA) loci and HLA-DRβ1 amino acid haplotypes for SLE. Associations among clinical features, wGRS, and the presence of LN were identified. Results: In the multivariate analysis, patients with LN were younger at diagnosis (odds ratio [OR]=0.97, p＜0.001), had more pleuritis (OR=2.44, p＜0.001) and pericarditis (OR=1.62, p=0.029), had a higher detection rate of anti-double stranded deoxyribonucleic acid (anti-dsDNA antibodies, OR=2.22, p＜0.001), anti-Smith antibodies (anti-Sm antibodies, OR=1.70, p=0.002), low level of complement (OR=1.37, p=0.043) and absence of antiphospholipid antibodies (aPL antibodies, OR=1.60, p=0.002), and had higher wGRS (OR=1.16, p=0.012). Mediation analysis suggested that anti-Sm antibodies and low complement could be mediators in the relationship between high wGRS and the presence of LN. Conclusion Onset age, pleuritis, pericarditis, several serologic markers, and wGRS were associated with the presence of LN. Anti-Sm antibodies and low complement appeared to mediate the indirect relationship between wGRS and the presence of LN.