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ADInstruments
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2026-04
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KAUST Core Labs
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Alive Technologies Pty Ltd
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2026-04
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Philips Healthcare
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AliveCor Inc
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AliveCor Inc
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AliveCor Inc
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AliveCor Inc
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CardioComm Solutions Inc
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Boehringer Ingelheim
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2026-04
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CamNtech Ltd
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ProCare Systems Inc
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Image Search Results
Journal: European Heart Journal
Article Title: Application of artificial intelligence to the electrocardiogram
doi: 10.1093/eurheartj/ehab649
Figure Lengend Snippet: Summary of artificial intelligence electrocardiogram algorithms and their performance and characteristics
Article Snippet: LVSD/HF , Cho et al. Sejong/Korea , Mediplex/Sejong (Korea) , Retrospective , IV-2908 EV-4176 , 6.8 , Low EF confirmed by echo , Single lead (LI) from 12
Techniques: Biomarker Discovery
Journal: European Heart Journal
Article Title: Application of artificial intelligence to the electrocardiogram
doi: 10.1093/eurheartj/ehab649
Figure Lengend Snippet: Embedding of an artificial intelligence electrocardiogram into a stethoscope. Electrodes on the stethoscope acquire an electrocardiogram during normal auscultation, permitting the identification of ventricular dysfunction with 15 s of skin contact time. This workflow provides immediate notification to the healthcare provider via a smartphone connection. ECG, electrocardiogram; EF, ejection fraction.
Article Snippet: LVSD/HF , Cho et al. Sejong/Korea , Mediplex/Sejong (Korea) , Retrospective , IV-2908 EV-4176 , 6.8 , Low EF confirmed by echo , Single lead (LI) from 12
Techniques:
Journal: European Heart Journal
Article Title: Application of artificial intelligence to the electrocardiogram
doi: 10.1093/eurheartj/ehab649
Figure Lengend Snippet: Artificial intelligence disease previvor. Left panel—an apparently normal electrocardiogram is identified by artificial intelligence as being associated with a low ejection fraction. A contemporaneous echocardiogram depicts normal ventricular function (ejection fraction 50%). Middle panel—5 years later, at age 33, additional electrocardiograms changes are now visible to the human eye, and repeat echocardiography shows depressed ventricular function (ejection fraction 31%). Right panel—risk of developing ejection fraction <35% with a positive artificial intelligence electrocardiogram (red line) vs. with a negative artificial intelligence electrocardiogram for low ejection fraction (blue line). Further details in the text. AI, artificial intelligence; ECG, electrocardiogram; EF, ejection fraction.
Article Snippet: LVSD/HF , Cho et al. Sejong/Korea , Mediplex/Sejong (Korea) , Retrospective , IV-2908 EV-4176 , 6.8 , Low EF confirmed by echo , Single lead (LI) from 12
Techniques:
Journal: The Veterinary record
Article Title: Comparison between smartphone electrocardiography and standard three-lead base apex electrocardiography in healthy horses
doi: 10.1136/vr.105759
Figure Lengend Snippet: Median (range) of the mean values across observers with the Televet (TV) and AliveCor (AC) ECG traces from all 15 horses
Article Snippet: With recognition of the utility of smartphone-based ECGs in humans, dogs and ruminants, the
Techniques:
Journal: The Veterinary record
Article Title: Comparison between smartphone electrocardiography and standard three-lead base apex electrocardiography in healthy horses
doi: 10.1136/vr.105759
Figure Lengend Snippet: Intraclass correlation coefficient (ICC) agreement between two methods of ECG obtainment in continuous variables for each observer (OBS1, OBS2 and OBS3) and averaged over the three observers for all 15 horses
Article Snippet: With recognition of the utility of smartphone-based ECGs in humans, dogs and ruminants, the
Techniques: