https://ir.ymlib.yonsei.ac.kr/handle/22282913/187362 2026-04-14T02:53:10Z 2026-04-14T02:53:10Z https://ir.ymlib.yonsei.ac.kr/handle/22282913/206541 2025-07-09T08:38:25Z 2024-07-01T00:00:00Z

Title: Effect of Foot Position on Ankle Muscle Activity During Wobble Board Training in Individuals With Chronic Ankle Instability Abstract: Objective: The purpose of this study was to compare the effects of foot positioning on muscle activities of the peroneus longus (PL), medial gastrocnemius (MG), and tibialis anterior (TA)/PL ratio in individuals with chronic ankle instabilities (CAI) during wobble board training. Methods: Thirty individuals with CAI were included, and statistical significance of PL and MG muscle activities was determined using 1-way repeated measures analysis of variance alongside TA/PL activity ratio at the university research laboratory. The participants performed the wobble board training in 3 different foot positions: medial from the centerline of the wobble board (WBT-M), middle from the centerline of the wobble board, and lateral from the centerline of the wobble board (WBT-L). Peroneus longus, MG, and TA muscle activities were measured using surface electromyography. Results: Peroneus longus activity was significantly higher in the WBT-L position than in the other 2 positions, and it was significantly higher in the middle from the centerline of the wobble board than in the WBT-M position. Medial gastrocnemius activity was significantly greater in the WBT-L position than in the other 2 positions. Tibialis anterior/PL ratio was higher in the WBT-M position than in the other 2 positions. Conclusion: The findings of this study showed that WBT-L increased PL muscle activity by >70% of the maximal voluntary isometric contraction without increasing TA/PL ratio in individuals with CAI.

2024-07-01T00:00:00Z 이동기 장성일 조재희 손승진 https://ir.ymlib.yonsei.ac.kr/handle/22282913/187462 2022-03-03T00:30:35Z 2021-12-01T00:00:00Z

Title: Diagnostic performance of endoscopic ultrasound-artificial intelligence using deep learning analysis of gallbladder polypoid lesions Authors: 이동기; 장성일; 조재희; 손승진 Abstract: Background and aim: Endoscopic ultrasound (EUS) is the most accurate diagnostic modality for polypoid lesions of the gallbladder (GB), but is limited by subjective interpretation. Deep learning-based artificial intelligence (AI) algorithms are under development. We evaluated the diagnostic performance of AI in differentiating polypoid lesions using EUS images. Methods: The diagnostic performance of the EUS-AI system with ResNet50 architecture was evaluated via three processes: training, internal validation, and testing using an AI development cohort of 1039 EUS images (836 GB polyps and 203 gallstones). The diagnostic performance was verified using an external validation cohort of 83 patients and compared with the performance of EUS endoscopists. Results: In the AI development cohort, we developed an EUS-AI algorithm and evaluated the diagnostic performance of the EUS-AI including sensitivity, specificity, positive predictive value, negative predictive value, and accuracy. For the differential diagnosis of neoplastic and non-neoplastic GB polyps, these values for EUS-AI were 57.9%, 96.5%, 77.8%, 91.6%, and 89.8%, respectively. In the external validation cohort, we compared diagnostic performances between EUS-AI and endoscopists. For the differential diagnosis of neoplastic and non-neoplastic GB polyps, the sensitivity and specificity were 33.3% and 96.1% for EUS-AI; they were 74.2% and 44.9%, respectively, for the endoscopists. Besides, the accuracy of the EUS-AI was between the accuracies of mid-level (66.7%) and expert EUS endoscopists (77.5%). Conclusions: This newly developed EUS-AI system showed favorable performance for the diagnosis of neoplastic GB polyps, with a performance comparable to that of EUS endoscopists.

2021-12-01T00:00:00Z https://ir.ymlib.yonsei.ac.kr/handle/22282913/187364 2022-09-27T06:28:32Z 2021-01-01T00:00:00Z

Title: 2021 용인세브란스 Outcomes Book

2021-01-01T00:00:00Z