• 제목/요약/키워드: University medical center

검색결과 20,066건 처리시간 0.038초

A Clinical Report on a Patient with Type 2 Diabetes

  • Shin, Ae-sook;Gwak, Ja-young;Cho, Seung-yeon;Lee, In-whan;Kim, Hye-mi;Kim, Na-hee;Park, Sung-wook;Park, Jung-mi;Ko, Chang-nam;Bae, Hyung-sup
    • 대한중풍순환신경학회지
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    • 제10권1호
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    • pp.68-73
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    • 2009

  • Type 2 diabetes mellitus (T2DM) is a progressive disorder caused by a combination of insulin resistance and 𝛽 cell dysfunction. Sogal(消渴) is a traditional Korean medical term referring to a condition pertaining 3 major symptoms - thirst, polyphasia, polyuria. Sogal has been reported to have similar characteristics with DM. This case report demonstrates a patient with T2DM complaining of typical Sogal symptoms. We diagnosed him as So-yang person Sogal and treated him with acupuncture and herbal medicine.

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Delayed recovery of a patient with obstructive azoospermia and a history of acute epididymitis

  • Song, Seung-Hun;Shim, Jeong Yun;Sung, Suye;Her, Young Sun;Oh, Mihee;Shin, Dong Hyuk;Lee, Jinil;Baek, Jeoungwon;Lee, Woo Sik;Kim, Dong Suk
    • Clinical and Experimental Reproductive Medicine
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    • 제46권2호
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    • pp.95-98
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    • 2019

  • Obstructive azoospermia caused by acute epididymitis is usually permanent, and microsurgical vasoepididymostomy is the only reconstructive treatment option. There have been no reports of delayed recovery of sperm count after over 1 year in a patient with obstructive azoospermia related to history of acute epididymitis. We present a young male patient who had azoospermia and a history of acute epididymitis who experienced delayed recovery, with complete restoration of sperm production and the ability to conceive naturally.

  • https://doi.org/10.5653/cerm.2019.46.2.95 인용 PDF KSCI

The first private-hospital based proton therapy center in Korea; status of the Proton Therapy Center at Samsung Medical Center

  • Chung, Kwangzoo;Han, Youngyih;Kim, Jinsung;Ahn, Sung Hwan;Ju, Sang Gyu;Jung, Sang Hoon;Chung, Yoonsun;Cho, Sungkoo;Jo, Kwanghyun;Shin, Eun Hyuk;Hong, Chae-Seon;Shin, Jung Suk;Park, Seyjoon;Kim, Dae-Hyun;Kim, Hye Young;Lee, Boram;Shibagaki, Gantaro;Nonaka, Hideki;Sasai, Kenzo;Koyabu, Yukio;Choi, Changhoon;Huh, Seung Jae;Ahn, Yong Chan;Pyo, Hong Ryull;Lim, Do Hoon;Park, Hee Chul;Park, Won;Oh, Dong Ryul;Noh, Jae Myung;Yu, Jeong Il;Song, Sanghyuk;Lee, Ji Eun;Lee, Bomi;Choi, Doo Ho
    • Radiation Oncology Journal
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    • 제33권4호
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    • pp.337-343
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    • 2015

  • Purpose: The purpose of this report is to describe the proton therapy system at Samsung Medical Center (SMC-PTS) including the proton beam generator, irradiation system, patient positioning system, patient position verification system, respiratory gating system, and operating and safety control system, and review the current status of the SMC-PTS. Materials and Methods: The SMC-PTS has a cyclotron (230 MeV) and two treatment rooms: one treatment room is equipped with a multi-purpose nozzle and the other treatment room is equipped with a dedicated pencil beam scanning nozzle. The proton beam generator including the cyclotron and the energy selection system can lower the energy of protons down to 70 MeV from the maximum 230 MeV. Results: The multi-purpose nozzle can deliver both wobbling proton beam and active scanning proton beam, and a multi-leaf collimator has been installed in the downstream of the nozzle. The dedicated scanning nozzle can deliver active scanning proton beam with a helium gas filled pipe minimizing unnecessary interactions with the air in the beam path. The equipment was provided by Sumitomo Heavy Industries Ltd., RayStation from RaySearch Laboratories AB is the selected treatment planning system, and data management will be handled by the MOSAIQ system from Elekta AB. Conclusion: The SMC-PTS located in Seoul, Korea, is scheduled to begin treating cancer patients in 2015.

  • https://doi.org/10.3857/roj.2015.33.4.337 인용 PDF KSCI

An Open Medical Platform to Share Source Code and Various Pre-Trained Weights for Models to Use in Deep Learning Research

  • Sungchul Kim;Sungman Cho;Kyungjin Cho;Jiyeon Seo;Yujin Nam;Jooyoung Park;Kyuri Kim;Daeun Kim;Jeongeun Hwang;Jihye Yun;Miso Jang;Hyunna Lee;Namkug Kim
    • Korean Journal of Radiology
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    • 제22권12호
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    • pp.2073-2081
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    • 2021

  • Deep learning-based applications have great potential to enhance the quality of medical services. The power of deep learning depends on open databases and innovation. Radiologists can act as important mediators between deep learning and medicine by simultaneously playing pioneering and gatekeeping roles. The application of deep learning technology in medicine is sometimes restricted by ethical or legal issues, including patient privacy and confidentiality, data ownership, and limitations in patient agreement. In this paper, we present an open platform, MI2RLNet, for sharing source code and various pre-trained weights for models to use in downstream tasks, including education, application, and transfer learning, to encourage deep learning research in radiology. In addition, we describe how to use this open platform in the GitHub environment. Our source code and models may contribute to further deep learning research in radiology, which may facilitate applications in medicine and healthcare, especially in medical imaging, in the near future. All code is available at https://github.com/mi2rl/MI2RLNet.

  • https://doi.org/10.3348/kjr.2021.0170 인용 PDF