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Cardiology / Original Article
Automatic quantitative analysis of atherosclerotic aortic plaques in patients with embolic cerebral infarction using deep learning
Hye Jin Bang, Jae-Hyeong Park, Sun Geu Chae, Suk Joo Bae, Ji-Hoon Jung, You Hee Cho, Jong Won Park, Dae-Won Kim, Jung Sun Cho
Korean J Intern Med. 2025;40(5):767-779. Published online August 26, 2025
Background/Aims: Transesophageal echocardiography (TEE) is a commonly used imaging modality for assessing embolic stroke of undetermined source (ESUS) in clinical practice. We aimed to develop an automatic plaque segmentation model based on U-net and evaluate its clinical usefulness in patients with..
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Cardiology / Original Article
Explainable paroxysmal atrial fibrillation diagnosis using an artificial intelligence-enabled electrocardiogram
Yeongbong Jin, Bonggyun Ko, Woojin Chang, Kang-Ho Choi, Ki Hong Lee
Korean J Intern Med. 2025;40(2):251-261. Published online February 21, 2025
Background/Aims: Atrial fibrillation (AF) significantly contributes to global morbidity and mortality. Paroxysmal atrial fibrillation (PAF) is particularly common among patients with cryptogenic strokes or transient ischemic attacks and has a silent nature. This study aims to develop reliable artifi..
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Nephrology / Review
Machine learning approaches toward an understanding of acute kidney injury: current trends and future directions
Inyong Jeong, Nam-Jun Cho, Se-Jin Ahn, Hwamin Lee, Hyo-Wook Gil
Korean J Intern Med. 2024;39(6):882-897. Published online October 29, 2024
Acute kidney injury (AKI) is a significant health challenge associated with adverse patient outcomes and substantial economic burdens. Many authors have sought to prevent and predict AKI. Here, we comprehensively review recent advances in the use of artificial intelligence (AI) to predict AKI, and t..
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Gastroenterology / Review
Artificial intelligence in colonoscopy: from detection to diagnosis
Eun Sun Kim, Kwang-Sig Lee
Korean J Intern Med. 2024;39(4):555-562. Published online May 2, 2024
This study reviews the recent progress of artificial intelligence for colonoscopy from detection to diagnosis. The source of data was 27 original studies in PubMed. The search terms were “colonoscopy” (title) and “deep learning” (abstract). The eligibility criteria were: (1) the dependent varia..
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Pulmonology / Original Article
Mechanical ventilation in patients with idiopathic pulmonary fibrosis in Korea: a nationwide cohort study
Jae Kyeom Sim, Seok Joo Moon, Juwhan Choi, Jee Youn Oh, Young Seok Lee, Kyung Hoon Min, Gyu Young Hur, Sung Yong Lee, Jae Jeong Shim
Korean J Intern Med. 2024;39(2):295-305. Published online February 8, 2024
Background/Aims: The prognosis of patients with idiopathic pulmonary fibrosis (IPF) and respiratory failure requiring mechanical ventilation is poor. Therefore, mechanical ventilation is not recommended. Recently, outcomes of mechanical ventilation, including those for patients with IPF, have improv..
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Pulmonology / Original Article
Corticosteroid outcome may be dependent of duration of use in severe COVID-19
[letter]
Jin Hyoung Kim, Yong Sub Na, Song-I Lee, Youn Young Moon, Beom Seuk Hwang, Ae-Rin Baek, Won-Young Kim, Bo Young Lee, Gil Myeong Seong, Moon Seong Baek
Korean J Intern Med. 2023;38(3):382-392. Published online April 11, 2023
Background/Aims: For patients hospitalized with coronavirus disease 2019 (COVID-19) who require supplemental oxygen, the evidence of the optimal duration of corticosteroid is limited. This study aims to identify whether long-term use of corticosteroids is associated with decreased mortality.
Method..
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Pulmonology / Original Article
Change in management and outcome of mechanical ventilation in Korea: a prospective observational study
Jae Kyeom Sim, Sang-Min Lee, Hyung Koo Kang, Kyung Chan Kim, Young Sam Kim, Yun Seong Kim, Won-Yeon Lee, Sunghoon Park, So Young Park, Ju-Hee Park, Yun Su Sim, Kwangha Lee, Yeon Joo Lee, Jin Hwa Lee, Heung Bum Lee, Chae-Man Lim, Won-Il Choi, Ji Young Hong, Won Jun Song, Gee Young Suh
Korean J Intern Med. 2022;37(3):618-630. Published online February 11, 2022
Background/Aims: There are few studies describing contemporary status of mechanical ventilation in Korea. We investigated changes in management and outcome of mechanical ventilation in Korea.
Methods: International, prospective observational cohort studies have been conducted every 6 years since 19..
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Pulmonology / Original Article
Atrial fibrillation in critically ill patients who received prolonged mechanical ventilation: a nationwide inpatient report
Zhen Lin, Hedong Han, Wei Guo, Xin Wei, Zhijian Guo, Shujie Zhai, Shuai Li, Yiming Ruan, Fangyuan Hu, Dongdong Li, Jia He
Korean J Intern Med. 2021;36(6):1389-1401. Published online July 12, 2021
Background/Aims: To evaluate temporal trends of atrial fibrillation (AF) prevalence in critically ill patients who received prolonged mechanical ventilation (MV) in the United States.
Methods: We used the 2008 to 2014 National Inpatient Sample to compute the weighted prevalence of AF among hospital..
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