An Algorithm Based on Deep Learning for Predicting In‐Hospital Cardiac Arrest by Joon‐myoung Kwon, Youngnam Lee, Yeha Lee, Seungwoo Lee, Jinsik Park

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Validation of deep-learning-based triage and acuity score using a large national dataset. by Joon-Myoung Kwon, Youngnam Lee, Yeha Lee, Seungwoo Lee, Hyunho Park, Jinsik Park

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Deep Learning in the Medical Domain: Predicting Cardiac Arrest Using Deep Learning by Youngnam Lee, Joon-myoung Kwon, Yeha Lee, Hyunho Park, Hugh Cho, Jinsik Park

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ROMIAE (Rule-Out Acute Myocardial Infarction Using Artificial Intelligence Electrocardiogram Analysis) trial study protocol: a prospective multicenter observational study for valid... by Tae Gun Shin, Youngjoo Lee, Kyuseok Kim, Min Sung Lee, Joon-myoung Kwon, on behalf of the ROMIAE study group

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Artificial intelligence algorithm for predicting cardiac arrest using electrocardiography by Joon-myoung Kwon, Kyung-Hee Kim, Ki-Hyun Jeon, Soo Youn Lee, Jinsik Park, Byung-Hee Oh

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Predicting intraoperative hypotension using deep learning with waveforms of arterial blood pressure, electroencephalogram, and electrocardiogram: Retrospective study. by Yong-Yeon Jo, Jong-Hwan Jang, Joon-Myoung Kwon, Hyung-Chul Lee, Chul-Woo Jung, Seonjeong Byun, Han-Gil Jeong

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Artificial Intelligence-Enhanced Smartwatch ECG for Heart Failure-Reduced Ejection Fraction Detection by Generating 12-Lead ECG by Joon-myoung Kwon, Yong-Yeon Jo, Soo Youn Lee, Seonmi Kang, Seon-Yu Lim, Min Sung Lee, Kyung-Hee Kim

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Deep Learning–Based Algorithm for Detecting Aortic Stenosis Using Electrocardiography by Joon‐Myoung Kwon, Soo Youn Lee, Ki‐Hyun Jeon, Yeha Lee, Kyung‐Hee Kim, Jinsik Park, Byung‐Hee Oh, Myong‐Mook Lee

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Development of an Interoperable and Easily Transferable Clinical Decision Support System Deployment Platform: System Design and Development Study by Junsang Yoo, Jeonghoon Lee, Ji Young Min, Sae Won Choi, Joon-myoung Kwon, Insook Cho, Chiyeon Lim, Mi Young Choi, Won Chul Cha

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Can emergency physicians reliably interpret cardiac CT images? A prospective observational study by Joon-myoung Kwon, Joonghee Kim, Kyuseok Kim, Taeyun Kim, You Hwan Jo, Jin Hee Lee, Jae Hyuk Lee, Yu Jin Kim, Jae Yun Jung

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Artificial intelligence algorithm for detecting myocardial infarction using six-lead electrocardiography by Younghoon Cho, Joon-myoung Kwon, Kyung-Hee Kim, Jose R. Medina-Inojosa, Ki-Hyun Jeon, Soohyun Cho, Soo Youn Lee, Jinsik Park, Byung-Hee Oh

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Deep-learning-based risk stratification for mortality of patients with acute myocardial infarction. by Joon-Myoung Kwon, Ki-Hyun Jeon, Hyue Mee Kim, Min Jeong Kim, Sungmin Lim, Kyung-Hee Kim, Pil Sang Song, Jinsik Park, Rak Kyeong Choi, Byung-Hee Oh

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Deep-learning model for screening sepsis using electrocardiography by Joon-myoung Kwon, Ye Rang Lee, Min-Seung Jung, Yoon-Ji Lee, Yong-Yeon Jo, Da-Young Kang, Soo Youn Lee, Yong-Hyeon Cho, Jae-Hyun Shin, Jang-Hyeon Ban, Kyung-Hee Kim

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Artificial intelligence for detecting electrolyte imbalance using electrocardiography by Joon‐myoung Kwon, Min‐Seung Jung, Kyung‐Hee Kim, Yong‐Yeon Jo, Jae‐Hyun Shin, Yong‐Hyeon Cho, Yoon‐Ji Lee, Jang‐Hyeon Ban, Ki‐Hyun Jeon, Soo Youn Lee, Jinsik Park, Byung‐Hee Oh

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Artificial intelligence algorithm for predicting mortality of patients with acute heart failure. by Joon-Myoung Kwon, Kyung-Hee Kim, Ki-Hyun Jeon, Sang Eun Lee, Hae-Young Lee, Hyun-Jai Cho, Jin Oh Choi, Eun-Seok Jeon, Min-Seok Kim, Jae-Joong Kim, Kyung-Kuk Hwang, Shung Chull Chae, Sang Hong Baek, Seok-Min Kang, Dong-Ju Choi, Byung-Su Yoo, Kye Hun Kim, Hyun-Young Park, Myeong-Chan Cho, Byung-Hee Oh

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