Zobrazeno 1 - 10
of 621
pro vyhledávání: '"KyungHwa Han"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract This study evaluated the positive predictive value (PPV) of artificial intelligence (AI) in detecting pneumothorax on chest radiographs (CXRs) and its affecting factors. Patients determined to have pneumothorax on CXR by a commercial AI soft
Externí odkaz:
https://doaj.org/article/099d2817388946a1b8ccf5a127d9133c
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract This study aimed to develop a new simple and effective prognostic model using artificial intelligence (AI)-based chest radiograph (CXR) results to predict the outcomes of pneumonia. Patients aged > 18 years, admitted the treatment of pneumon
Externí odkaz:
https://doaj.org/article/bbe382610aa348699df22d4b6db8c074
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract The purposes were to assess the efficacy of AI-generated radiology reports in terms of report summary, patient-friendliness, and recommendations and to evaluate the consistent performance of report quality and accuracy, contributing to the a
Externí odkaz:
https://doaj.org/article/9142cdabaf9b44d19e970dfeac1c54c2
Autor:
Hyun Ji Lim, Haesung Yoon, Jisoo Kim, Kyunghwa Han, Yuri So, Mincheol Park, Kun-Bo Park, Mi-Jung Lee
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-8 (2024)
Abstract Scoliosis is a three-dimensional spinal deformity, and paraspinal muscles play an important role as stabilizers of the spinal curve. In this prospective study, we compared elasticity changes in the paraspinal muscles of adolescent patients w
Externí odkaz:
https://doaj.org/article/838d9ab0f0d44adfb7992b21a8547e73
Autor:
Yae Won Park, Ji Eun Park, Sung Soo Ahn, Kyunghwa Han, NakYoung Kim, Joo Young Oh, Da Hyun Lee, So Yeon Won, Ilah Shin, Ho Sung Kim, Seung-Koo Lee
Publikováno v:
Cancer Imaging, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Objectives To assess whether a deep learning-based system (DLS) with black-blood imaging for brain metastasis (BM) improves the diagnostic workflow in a multi-center setting. Materials and methods In this retrospective study, a DLS was devel
Externí odkaz:
https://doaj.org/article/be5e7fa958e441e88ced44911cdc2103
Autor:
Dongkyu An, Dae Chul Jung, Jungwook Lee, Kyunghwa Han, Seungsoo Lee, Ki Don Chang, Koon Ho Rha
Publikováno v:
Investigative and Clinical Urology, Vol 64, Iss 5, Pp 448-456 (2023)
Purpose: To accurately describe the three-dimensional topology of renal tumors, our study suggests a new nephrometry scoring system, the T-index, that combines information about intraparenchymal extension and peripherality of the renal tumor. Materi
Externí odkaz:
https://doaj.org/article/14f607bb93be4aee8ecfc532aedd8e25
Autor:
Hyun Jung Chung, Nieun Seo, Kyunghwa Han, Heejin Bae, Yong Eun Chung, Minkyu Jung, Mi-Suk Park
Publikováno v:
PLoS ONE, Vol 19, Iss 11, p e0313212 (2024)
PurposeWe aimed to assess imaging findings and detection sensitivity for melanoma liver metastases on gadoxetic acid-enhanced magnetic resonance imaging (MRI).MethodsThis retrospective study included patients with melanoma liver metastasis who underw
Externí odkaz:
https://doaj.org/article/e031c9c05a9a4b2d96e85b1db3d9b7ab
Autor:
Miribi Rho, Sei Hyun Chun, Eunjung Lee, Hye Sun Lee, Jung Hyun Yoon, Vivian Youngjean Park, Kyunghwa Han, Jin Young Kwak
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-9 (2023)
Abstract To assess the performance of deep convolutional neural network (CNN) to discriminate malignant and benign thyroid nodules
Externí odkaz:
https://doaj.org/article/b7d927f223a9404f9a9416910d73b4f4
Publikováno v:
npj Digital Medicine, Vol 6, Iss 1, Pp 1-8 (2023)
Abstract Whether the utilization of artificial intelligence (AI) during the interpretation of chest radiographs (CXRs) would affect the radiologists’ workload is of particular interest. Therefore, this prospective observational study aimed to obser
Externí odkaz:
https://doaj.org/article/f7496704ab4e4b8d84f111172229fc17
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract Stability selection is a variable selection algorithm based on resampling a dataset. Based on stability selection, we propose weighted stability selection to select variables by weighing them using the area under the receiver operating chara
Externí odkaz:
https://doaj.org/article/042ff7f83b7b476e9eba2fdb3b50721f