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

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Unsupervised feature learning for electrocardiogram data using the convolutional variational autoencoder von Jang, Jong-Hwan, Kim, Tae Young, Lim, Hong-Seok, Yoon, Dukyong

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Automated Detection of Acute Myocardial Infarction Using Asynchronous Electrocardiogram Signals—Preview of Implementing Artificial Intelligence With Multichannel Electrocardiograph... von Han, Changho, Song, Youngjae, Lim, Hong-Seok, Tae, Yunwon, Jang, Jong-Hwan, Lee, Byeong Tak, Lee, Yeha, Bae, Woong, Yoon, Dukyong

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Effectiveness of Transfer Learning for Deep Learning-Based Electrocardiogram Analysis von Jang, Jong-Hwan, Kim, Tae Young, Yoon, Dukyong

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Quantitative Evaluation of the Relationship between T-Wave-Based Features and Serum Potassium Level in Real-World Clinical Practice von Park, Chan Min, Jang, Jong-Hwan, Choi, Jung-gu, Kim, Tae Young, Jeong, Jong Cheol, Lim, Hong-Seok, Yoon, Dukyong, Jeong, Eugene

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Machine Learning Approach for Active Vaccine Safety Monitoring von Kim, Yujeong, Jang, Jong Hwan, Park, Namgi, Jeong, Na Young, Lim, Eunsun, Kim, Soyun, Choi, Nam Kyong, Yoon, Dukyong

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Identifying Atrial Fibrillation With Sinus Rhythm Electrocardiogram in Embolic Stroke of Undetermined Source: A Validation Study With Insertable Cardiac Monitors von Jeon, Ki-Hyun, Jang, Jong-Hwan, Kang, Sora, Lee, Hak Seung, Lee, Min Sung, Son, Jeong Min, Jo, Yong-Yeon, Park, Tae Jun, Oh, Il-Young, Kwon, Joon-myoung, Lee, Ji Hyun

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Modeling Brain Volume Using Deep Learning-Based Physical Activity Features in Patients With Dementia von Park, Bumhee, Choi, Byung Jin, Lee, Heirim, Jang, Jong-Hwan, Roh, Hyun Woong, Kim, Eun Young, Hong, Chang Hyung, Son, Sang Joon, Yoon, Dukyong

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Discovering hidden information in biosignals from patients using artificial intelligence von Yoon, Dukyong, Jang, Jong-Hwan, Choi, Byung Jin, Kim, Tae Young, Han, Chang Ho

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Construction of an Electrocardiogram Database Including 12 Lead Waveforms von Chung, Dahee, Choi, Junggu, Jang, Jong-Hwan, Kim, Tae Young, Byun, JungHyun, Park, Hojun, Lim, Hong-Seok, Park, Rae Woong, Yoon, Dukyong

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AI-enabled ECG index for predicting left ventricular dysfunction in patients with ST-segment elevation myocardial infarction von Jeon, Ki-Hyun, Lee, Hak Seung, Kang, Sora, Jang, Jong-Hwan, Jo, Yong-Yeon, Son, Jeong Min, Lee, Min Sung, Kwon, Joon-myoung, Kwun, Ju-Seung, Cho, Hyoung-Won, Kang, Si-Hyuck, Lee, Wonjae, Yoon, Chang-Hwan, Suh, Jung-Won, Youn, Tae-Jin, Chae, In-Ho

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Deep Learning Approach for Imputation of Missing Values in Actigraphy Data: Algorithm Development Study von Jang, Jong-Hwan, Choi, Junggu, Roh, Hyun Woong, Son, Sang Joon, Hong, Chang Hyung, Kim, Eun Young, Kim, Tae Young, Yoon, Dukyong

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Does Exposure to Computed Tomography Contrast Media Increase Risk of End-Stage Renal Disease? von Lim, Eunsoo, Jang, Jong-Hwan, Yoon, Dukyong, Min, Young-Gi, Kim, Hyuk-Hoon

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Discovering hidden information in biosignals from patients by artificial intelligence von Yoon, Dukyong, Jang, Jong-Hwan, Choi, Byung Jin, Kim, Tae Young, Han, Chang Ho

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Towards Synthesizing Twelve-Lead Electrocardiograms from Two Asynchronous Leads von Yong-Yeon, Jo, Choi, Young Sang, Jong-Hwan Jang, Kwon, Joon-Myoung

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TCT-658 Novel Electrocardiogram-Generating Technique Using Artificial Intelligence: From 2- to 12-Lead von Lee, Hak Seung, Son, Jeong Min, Jang, Jong-Hwan, Han, Ga In, Yoo, Ah-Hyun, Kang, Sora, Kwon, Jun-Myoung

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Abstract 13564: Novel Electrocardiogram Generating Technique Using Artificial Intelligence: From 2-lead to 12-lead von Lee, Hak Seung, Jo, Yong-Yeon, Kang, Sora, Jang, Jong-Hwan, Son, Jeong Min, Lee, Min Sung, Kwon, Joon-Myoung

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Abstract 13550: Electrocardiographic-Based Artificial Intelligence Model in Prediction of 1-year Mortality in Heart Failure With Reduced Ejection Fraction von Lee, Hak Seung, Kang, Sora, Jang, Jong-Hwan, Jo, Yong-Yeon, Son, Jeong Min, Lee, Min Sung, Kwon, Joon-Myoung

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Abstract 13558: Opening the Black Box of Artificial Intelligence: Visualization of Detecting Heart Failure Subtypes Using Electrocardiography von Lee, Hak Seung, Jang, Jong-Hwan, Kang, Sora, Jo, Yong-Yeon, Son, Jeong Min, Lee, Min Sung, Kwon, Joon-Myoung

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Electrocardiographic biomarker based on machine learning for detecting overt hyperthyroidism von Choi, Byungjin, Jang, Jong Hwan, Son, Minkook, Lee, Min Sung, Jo, Yong Yeon, Jeon, Ja Young, Jin, Uram, Soh, Moonseung, Park, Rae Woong, Kwon, Joon Myoung

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