What is AI and why should I care?
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          | Published in | Heart rhythm Vol. 21; no. 10; pp. e253 - e255 | 
|---|---|
| Main Author | |
| Format | Journal Article | 
| Language | English | 
| Published | 
        United States
          Elsevier Inc
    
        01.10.2024
     | 
| Subjects | |
| Online Access | Get full text | 
| ISSN | 1547-5271 1556-3871 1556-3871  | 
| DOI | 10.1016/j.hrthm.2024.08.001 | 
Cover
| Author | Stultz, Collin M. | 
    
|---|---|
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| Cites_doi | 10.1056/NEJMoa1901183 10.1016/j.jcmg.2021.08.004 10.1161/CIRCULATIONAHA.121.057480 10.1161/CIRCULATIONAHA.120.047829 10.1016/j.jacc.2022.05.029 10.1016/j.jacadv.2022.100003  | 
    
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| Keywords | Deep learning Digital health Artificial intelligence Machine learning Artificial neural networks  | 
    
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| References | Vaid, Johnson, Badgeley (bib3) 2022; 15 Elias, Poterucha, Rajaram (bib4) 2022; 80 Schlesinger, Diamant, Raghu (bib5) 2022; 1 Perez, Mahaffey, Hedlin (bib6) 2019; 381 Khurshid, Friedman, Reeder (bib1) 2022; 145 Raghunath, Pfeifer, Ulloa-Cerna (bib2) 2021; 143 Schlesinger (10.1016/j.hrthm.2024.08.001_bib5) 2022; 1 Perez (10.1016/j.hrthm.2024.08.001_bib6) 2019; 381 Vaid (10.1016/j.hrthm.2024.08.001_bib3) 2022; 15 Elias (10.1016/j.hrthm.2024.08.001_bib4) 2022; 80 Raghunath (10.1016/j.hrthm.2024.08.001_bib2) 2021; 143 Khurshid (10.1016/j.hrthm.2024.08.001_bib1) 2022; 145  | 
    
| References_xml | – volume: 80 start-page: 613 year: 2022 end-page: 626 ident: bib4 article-title: Deep learning electrocardiographic analysis for detection of left-sided valvular heart disease publication-title: J Am Coll Cardiol – volume: 381 start-page: 1909 year: 2019 end-page: 1917 ident: bib6 article-title: Large-scale assessment of a Smartwatch to identify atrial fibrillation publication-title: N Engl J Med – volume: 1 year: 2022 ident: bib5 article-title: A deep learning model for inferring elevated pulmonary capillary wedge pressures from the 12-lead electrocardiogram publication-title: JACC Adv – volume: 145 start-page: 122 year: 2022 end-page: 133 ident: bib1 article-title: ECG-based deep learning and clinical risk factors to predict atrial fibrillation publication-title: Circulation – volume: 15 start-page: 395 year: 2022 end-page: 410 ident: bib3 article-title: Using deep-learning algorithms to simultaneously identify right and left ventricular dysfunction from the electrocardiogram publication-title: JACC Cardiovasc Imaging – volume: 143 start-page: 1287 year: 2021 end-page: 1298 ident: bib2 article-title: Deep neural networks can predict new-onset atrial fibrillation from the 12-lead ECG and help identify those at risk of atrial fibrillation–related stroke publication-title: Circulation – volume: 381 start-page: 1909 year: 2019 ident: 10.1016/j.hrthm.2024.08.001_bib6 article-title: Large-scale assessment of a Smartwatch to identify atrial fibrillation publication-title: N Engl J Med doi: 10.1056/NEJMoa1901183 – volume: 15 start-page: 395 year: 2022 ident: 10.1016/j.hrthm.2024.08.001_bib3 article-title: Using deep-learning algorithms to simultaneously identify right and left ventricular dysfunction from the electrocardiogram publication-title: JACC Cardiovasc Imaging doi: 10.1016/j.jcmg.2021.08.004 – volume: 145 start-page: 122 year: 2022 ident: 10.1016/j.hrthm.2024.08.001_bib1 article-title: ECG-based deep learning and clinical risk factors to predict atrial fibrillation publication-title: Circulation doi: 10.1161/CIRCULATIONAHA.121.057480 – volume: 143 start-page: 1287 year: 2021 ident: 10.1016/j.hrthm.2024.08.001_bib2 article-title: Deep neural networks can predict new-onset atrial fibrillation from the 12-lead ECG and help identify those at risk of atrial fibrillation–related stroke publication-title: Circulation doi: 10.1161/CIRCULATIONAHA.120.047829 – volume: 80 start-page: 613 year: 2022 ident: 10.1016/j.hrthm.2024.08.001_bib4 article-title: Deep learning electrocardiographic analysis for detection of left-sided valvular heart disease publication-title: J Am Coll Cardiol doi: 10.1016/j.jacc.2022.05.029 – volume: 1 year: 2022 ident: 10.1016/j.hrthm.2024.08.001_bib5 article-title: A deep learning model for inferring elevated pulmonary capillary wedge pressures from the 12-lead electrocardiogram publication-title: JACC Adv doi: 10.1016/j.jacadv.2022.100003  | 
    
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| SubjectTerms | Artificial Intelligence Artificial neural networks Deep learning Digital health Humans Machine learning  | 
    
| Title | What is AI and why should I care? | 
    
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