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Hyun Shin

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Articles

Prediction of left ventricular systolic dysfunction from chest radiographs using validated abnormality labels plus machine learning versus end-to-end deep learning

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By SungA Bae, Yujee Chang, Jinsik Yoon, Minkwan Kim, Hyun Shin, Eun-Kyung Kim, Chang Park, Dukyong Yoon, In Hyun Jung
| Nature Verified
Abstract Although recent deep learning approaches show promise for extracting predictive features from chest radiography (CXR), existing end-to-end models are often difficult to interpret clinically, and real-world prospective validation remains limited. We explored a hybrid deep learning strategy to predict reduced left ventricular ejection fraction (LVEF) from CXR data.
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Retinopathy of prematurity as a clinical marker of developmental vulnerability in preschool children: A nationwide Korean Health Screening study

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By Tae-Eun Kim, Sanghyun Park, Hyun Shin
| PLOS ONE
Loading metrics Open Access Peer-reviewed Research Article Citation: Kim T-E, Park HW, Park S, Shin HJ (2026) Retinopathy of prematurity as a clinical marker of developmental vulnerability in preschool children: A nationwide Korean Health Screening study. PLoS One 21(9): e0356773.
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Anatomical localization of the emergence point of the accessory zygomaticotemporal nerve using the marginal tubercle for its clinical implications

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By Shin Hyo Lee, Hyun Shin, You-Jin Choi, Hee-Jin Kim, Kang-Jae Shin
| Nature Verified
Abstract Zygomaticotemporal nerve (ZTN) blocks are widely used for temporal procedures, yet incomplete anesthesia may occur when accessory ZTN branches (aZTN) are not accounted for. This study aimed to localize the emergence point of the aZTN (aEP) using the marginal tubercle (MT) as a palpable landmark and to provide in vivo ultrasound depth information relevant to safe, accurate needle placement.
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