Digitisation of electrocardiographic images enable artificial intelligence-based mortality prediction von Patlatzoglou, K, Sau, A, Zeidaabadi, B, Pastika, L, Peters, N, Kramer, D, Waks, J, Ng, F

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Siamese neural networks can identify subjects from anonymised ECGs von Macierzanka, K, Sau, A, Patlatzoglou, K, Pastika, L, Sieliwonczyk, E, Gurnani, M, Zeidaabadi, B, Zhang, H, Barker, J, Liang, Y, Peters, N S, Kramer, D B, Waks, J W, Ng, F S

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Artificial intelligence-enhanced electrocardiography predicts 10-year risk of atherosclerotic cardiovascular disease von Zhang, H, Sau, A, Patlatzoglou, K, Pastika, L, Sieliwonczyk, E, Gurnani, M, Zeidaabadi, B, Macierzanka, K, Barker, J, Liang, Y, Peters, N S, Kramer, D B, Waks, J W, Ng, F S

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Prediction of mortality, future arrhythmia and cardiovascular disease: an artificial intelligence-enhanced electrocardiography platform von Sau, A, Pastika, L, Sieliwonczyk, E, Patlatzoglou, K, Ribeiro, A H, Mcgurk, K, Zeidaabadi, B, Zhang, H, Macierzanka, K, Peters, N S, Ware, J S, Ribeiro, A L P, Kramer, D B, Waks, J W, Ng, F S

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Artificial intelligence enabled electrocardiogram for mortality and ventricular arrhythmia prediction von Sau, A, Pastika, L, Sieliwonczyk, E, Patlatzoglou, K, Ribeiro, A, Mcgurk, K, Zeidaabadi, B, Zhang, H, Macierzanka, K, Peters, N S, Ware, J S, Ribeiro, A L P, Kramer, D B, Waks, J W, Ng, F S

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Artificial intelligence-enabled electrocardiogram for mortality and cardiovascular risk estimation: a model development and validation study von Sau, A, Pastika, L, Sieliwonczyk, E, Patlatzoglou, K, Ribeiro, AH, McGurk, KA, Zeidaabadi, B, Zhang, H, Macierzanka, K, Mandic, D, Sabino, E, Giatti, L, Barreto, SM, Camelo, LDV, Tzoulaki, I, O'Regan, DP, Peters, NS, Ware, JS, Ribeiro, ALP, Kramer, DB, Waks, JW, Ng, FS

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Artificial intelligence-enabled electrocardiogram for mortality and cardiovascular risk estimation: a model development and validation study von Sau, A, Pastika, L, Sieliwonczyk, E, Patlatzoglou, K, Ribeiro, AH, McGurk, KA, Zeidaabadi, B, Zhang, H, Macierzanka, K, Mandic, D, Sabino, E, Giatti, L, Barreto, SM, Camelo, LDV, Tzoulaki, I, O'Regan, DP, Peters, NS, Ware, JS, Ribeiro, ALP, Kramer, DB, Waks, JW, Ng, FS

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From dysrhythmias to myocardial ischaemia: the versatility of smart watches von Zeidaabadi Nezhad, B, Barker, J, Pastika, L, Pantazopoulos, N, Kaprielian, R, Ng, F

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CE-469620-001 AN ARTIFICIAL INTELLIGENCE–ENABLED ELECTROCARDIOGRAPHY PLATFORM FOR MORTALITY, ATHEROSCLEROTIC CARDIOVASCULAR DISEASE, HEART FAILURE AND VENTRICULAR ARRHYTHMIA PREDIC... von Sau, Arunashis, Pastika, Libor, Sieliwonczyk, Ewa, Patlatzoglou, Konstantinos, Ribeiro, Antonio, McGurk, Kathryn, Zeidaabadi, Boroumand, Zhang, Henry, Macierzanka, Krzysztof, Mandic, Danilo, Sabino, Ester, Giatti, Luana, Barreto, Sandhi, Camelo, Lidyane d., Tzoulaki, Ioanna, O'Regan, Declan P., Peters, Nicholas S., Ware, James S., Ribeiro, Antonio L., Kramer, Daniel B., Waks, Jonathan, Ng, Fu Siong

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A comparison of artificial intelligence-enhanced electrocardiography approaches for prediction of time-to-mortality using electrocardiogram images von Sau, Arunashis, Zeidaabadi, Boroumand, Patlatzoglou, Konstantinos, Pastika, Libor, Ribeiro, Antônio H, Sabino, Ester, Peters, Nicholas S, Ribeiro, Antonio Luiz P, Kramer, Daniel B, Waks, Jonathan W, Ng, Fu Siong

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Artificial intelligence-enabled electrocardiogram for mortality and cardiovascular risk estimation: a model development and validation study von Sau, Arunashis, Pastika, Libor, Sieliwonczyk, Ewa, Patlatzoglou, Konstantinos, Ribeiro, Antônio H, McGurk, Kathryn A, Zeidaabadi, Boroumand, Zhang, Henry, Macierzanka, Krzysztof, Mandic, Danilo, Sabino, Ester, Giatti, Luana, Barreto, Sandhi M, Camelo, Lidyane do Valle, Tzoulaki, Ioanna, O'Regan, Declan P, Peters, Nicholas S, Ware, James S, Ribeiro, Antonio Luiz P, Kramer, Daniel B, Waks, Jonathan W, Ng, Fu Siong

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