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Journal Abstract Search
179 related items for PubMed ID: 1952310
1. The ability of physicians to predict hyperkalemia from the ECG. Wrenn KD, Slovis CM, Slovis BS. Ann Emerg Med; 1991 Nov; 20(11):1229-32. PubMed ID: 1952310 [Abstract] [Full Text] [Related]
6. Clinical and electrocardiogram presentations of patients with high serum potassium concentrations within emergency settings: a prospective study. Raffee LA, Alawneh KZ, Ababneh MJ, Hijazi HH, Al Abdi RM, Aboozour MM, Alghzawi FA, Al-Mistarehi AH. Int J Emerg Med; 2022 May 26; 15(1):23. PubMed ID: 35619089 [Abstract] [Full Text] [Related]
7. 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]
8. Computer-assisted image processing 12 lead ECG model to diagnose hyperkalemia. Velagapudi V, O'Horo JC, Vellanki A, Baker SP, Pidikiti R, Stoff JS, Tighe DA. J Electrocardiol; 2017 Aug 01; 50(1):131-138. PubMed ID: 27662777 [Abstract] [Full Text] [Related]
10. 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]
11. Electrocardiographic T wave alterations and prediction of hyperkalemia in patients with acute kidney injury. Regolisti G, Maggiore U, Greco P, Maccari C, Parenti E, Di Mario F, Pistolesi V, Morabito S, Fiaccadori E. Intern Emerg Med; 2020 Apr 01; 15(3):463-472. PubMed ID: 31686358 [Abstract] [Full Text] [Related]
12. External validation and update of the early detection rule for severe hyperkalemia among patients with symptomatic bradycardia. Kim DH, Chon SB, Choi JH, Kwak YH. Am J Emerg Med; 2022 Jan 01; 51():401-408. PubMed ID: 34602330 [Abstract] [Full Text] [Related]
13. 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]
16. 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 05; 8(6):599-603. PubMed ID: 11388932 [Abstract] [Full Text] [Related]
19. Severe hyperkalemia with minimal electrocardiographic manifestations: a report of seven cases. Martinez-Vea A, Bardají A, Garcia C, Oliver JA. J Electrocardiol; 1999 Jan 05; 32(1):45-9. PubMed ID: 10037088 [Abstract] [Full Text] [Related]
20. Noninvasive potassium determination using a mathematically processed ECG: proof of concept for a novel "blood-less, blood test". Dillon JJ, DeSimone CV, Sapir Y, Somers VK, Dugan JL, Bruce CJ, Ackerman MJ, Asirvatham SJ, Striemer BL, Bukartyk J, Scott CG, Bennet KE, Mikell SB, Ladewig DJ, Gilles EJ, Geva A, Sadot D, Friedman PA. J Electrocardiol; 2015 Jan 05; 48(1):12-8. PubMed ID: 25453193 [Abstract] [Full Text] [Related] Page: [Next] [New Search]