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210 related items for PubMed ID: 32134388
1. A Deep-Learning Algorithm (ECG12Net) for Detecting Hypokalemia and Hyperkalemia by Electrocardiography: Algorithm Development. Lin CS, Lin C, Fang WH, Hsu CJ, Chen SJ, Huang KH, Lin WS, Tsai CS, Kuo CC, Chau T, Yang SJ, Lin SH. JMIR Med Inform; 2020 Mar 05; 8(3):e15931. PubMed ID: 32134388 [Abstract] [Full Text] [Related]
2. Development of deep learning algorithm for detecting dyskalemia based on electrocardiogram. An JN, Park M, Joo S, Chang M, Kim DH, Shin DG, Na Y, Kim JK, Lee HS, Song YR, Lee Y, Kim SG. Sci Rep; 2024 Oct 01; 14(1):22868. PubMed ID: 39353972 [Abstract] [Full Text] [Related]
3. Development and Validation of a Deep-Learning Model to Screen for Hyperkalemia From the Electrocardiogram. Galloway CD, Valys AV, Shreibati JB, Treiman DL, Petterson FL, Gundotra VP, Albert DE, Attia ZI, Carter RE, Asirvatham SJ, Ackerman MJ, Noseworthy PA, Dillon JJ, Friedman PA. JAMA Cardiol; 2019 May 01; 4(5):428-436. PubMed ID: 30942845 [Abstract] [Full Text] [Related]
4. Artificial Intelligence-Assisted Electrocardiography for Early Diagnosis of Thyrotoxic Periodic Paralysis. Lin C, Lin CS, Lee DJ, Lee CC, Chen SJ, Tsai SH, Kuo FC, Chau T, Lin SH. J Endocr Soc; 2021 Sep 01; 5(9):bvab120. PubMed ID: 34308091 [Abstract] [Full Text] [Related]
5. Development and validation of a deep learning model to screen hypokalemia from electrocardiogram in emergency patients. Wang CX, Zhang YC, Kong QL, Wu ZX, Yang PP, Zhu CH, Chen SL, Wu T, Wu QH, Chen Q. Chin Med J (Engl); 2021 Sep 02; 134(19):2333-2339. PubMed ID: 34483253 [Abstract] [Full Text] [Related]
6. Influence of dyskalemia at admission and early dyskalemia correction on survival and cardiac events of critically ill patients. Bouadma L, Mankikian S, Darmon M, Argaud L, Vinclair C, Siami S, Garrouste-Orgeas M, Papazian L, Cohen Y, Marcotte G, Styfalova L, Reignier J, Lautrette A, Schwebel C, Timsit JF, OUTCOMEREA STUDY GROUP. Crit Care; 2019 Dec 19; 23(1):415. PubMed ID: 31856891 [Abstract] [Full Text] [Related]
7. Point-of-care artificial intelligence-enabled ECG for dyskalemia: a retrospective cohort analysis for accuracy and outcome prediction. Lin C, Chau T, Lin CS, Shang HS, Fang WH, Lee DJ, Lee CC, Tsai SH, Wang CH, Lin SH. NPJ Digit Med; 2022 Jan 19; 5(1):8. PubMed ID: 35046489 [Abstract] [Full Text] [Related]
8. A deep learning-based system capable of detecting pneumothorax via electrocardiogram. Lee CC, Lin CS, Tsai CS, Tsao TP, Cheng CC, Liou JT, Lin WS, Lee CC, Chen JT, Lin C. Eur J Trauma Emerg Surg; 2022 Aug 19; 48(4):3317-3326. PubMed ID: 35166869 [Abstract] [Full Text] [Related]
9. Rapid and non-invasive diagnosis of hyperkalemia in patients with systolic myocardial failure using a model based on machine learning algorithms. Torshizi HM, Khorgami MR, Omidi N, Khalaj F, Ahmadi M. J Family Med Prim Care; 2024 Aug 19; 13(8):3393-3397. PubMed ID: 39228531 [Abstract] [Full Text] [Related]
10. Using Deep Transfer Learning to Detect Hyperkalemia From Ambulatory Electrocardiogram Monitors in Intensive Care Units: Personalized Medicine Approach. Chiu IM, Cheng JY, Chen TY, Wang YM, Cheng CY, Kung CT, Cheng FJ, Yau FF, Lin CR. J Med Internet Res; 2022 Dec 05; 24(12):e41163. PubMed ID: 36469396 [Abstract] [Full Text] [Related]
11. Detecting Digoxin Toxicity by Artificial Intelligence-Assisted Electrocardiography. Chang DW, Lin CS, Tsao TP, Lee CC, Chen JT, Tsai CS, Lin WS, Lin C. Int J Environ Res Public Health; 2021 Apr 06; 18(7):. PubMed ID: 33917563 [Abstract] [Full Text] [Related]
12. The ability of physicians to predict hyperkalemia from the ECG. Wrenn KD, Slovis CM, Slovis BS. Ann Emerg Med; 1991 Nov 06; 20(11):1229-32. PubMed ID: 1952310 [Abstract] [Full Text] [Related]
13. Noninvasive Screening Tool for Hyperkalemia Using a Single-Lead Electrocardiogram and Deep Learning: Development and Usability Study. Urtnasan E, Lee JH, Moon B, Lee HY, Lee K, Youk H. JMIR Med Inform; 2022 Jun 03; 10(6):e34724. PubMed ID: 35657658 [Abstract] [Full Text] [Related]
14. Can physicians detect hyperkalemia based on the electrocardiogram? Rafique Z, Aceves J, Espina I, Peacock F, Sheikh-Hamad D, Kuo D. Am J Emerg Med; 2020 Jan 03; 38(1):105-108. PubMed ID: 31047740 [Abstract] [Full Text] [Related]
15. Prediction of hyperkalemia in dogs from electrocardiographic parameters using an artificial neural network. Porter RS, Kaplan J, Zhao N, de Garavilla L, Eynon CA, Wenger FG, Dalsey WC. Acad Emerg Med; 2001 Jun 03; 8(6):599-603. PubMed ID: 11388932 [Abstract] [Full Text] [Related]
16. Validation of Noninvasive Detection of Hyperkalemia by Artificial Intelligence-Enhanced Electrocardiography in High Acuity Settings. Harmon DM, Liu K, Dugan J, Jentzer JC, Attia ZI, Friedman PA, Dillon JJ. Clin J Am Soc Nephrol; 2024 Aug 01; 19(8):952-958. PubMed ID: 39116276 [Abstract] [Full Text] [Related]
17. Hyperkalemia Detection in Emergency Departments Using Initial ECGs: A Smartphone AI ECG Analyzer vs. Board-Certified Physicians. Kim D, Jeong J, Kim J, Cho Y, Park I, Lee SM, Oh YT, Baek S, Kang D, Lee E, Jeong B. J Korean Med Sci; 2023 Nov 20; 38(45):e322. PubMed ID: 37987103 [Abstract] [Full Text] [Related]
18. Artificial intelligence for detecting electrolyte imbalance using electrocardiography. Kwon JM, Jung MS, Kim KH, Jo YY, Shin JH, Cho YH, Lee YJ, Ban JH, Jeon KH, Lee SY, Park J, Oh BH. Ann Noninvasive Electrocardiol; 2021 May 20; 26(3):e12839. PubMed ID: 33719135 [Abstract] [Full Text] [Related]
19. Serum Potassium Monitoring Using AI-Enabled Smartwatch Electrocardiograms. Chiu IM, Wu PJ, Zhang H, Hughes JW, Rogers AJ, Jalilian L, Perez M, Lin CR, Lee CT, Zou J, Ouyang D. JACC Clin Electrophysiol; 2024 Dec 20; 10(12):2644-2654. PubMed ID: 39387744 [Abstract] [Full Text] [Related]
20. A Deep Learning Algorithm for Detecting Acute Pericarditis by Electrocardiogram. Liu YL, Lin CS, Cheng CC, Lin C. J Pers Med; 2022 Jul 15; 12(7):. PubMed ID: 35887647 [Abstract] [Full Text] [Related] Page: [Next] [New Search]