Artificial intelligence for direct-to-physician reporting of ambulatory electrocardiography

  • L. S. Johnson
  • , P. Zadrozniak
  • , G. Jasina
  • , A. Grotek-Cuprjak
  • , J. G. Andrade
  • , E. Svennberg
  • , S. Z. Diederichsen
  • , W. F. McIntyre
  • , S. Stavrakis
  • , J. Benezet-Mazuecos
  • , P. Krisai
  • , Z. Iakobishvili
  • , A. Laish-Farkash
  • , S. Bhavnani
  • , E. Ljungström
  • , J. Bacevicius
  • , N. L. van Vreeswijk
  • , M. Rienstra
  • , R. Spittler
  • , J. A. Marx
    • A. Oraii, A. Miracle Blanco, A. Lozano, I. Mustafina, S. Zafeiropoulos, R. Bennett, J. Bisson, D. Linz, Y. Kogan, E. Glazer, G. Marincheva, M. Rahkovich, E. Shaked, M. H. Ruwald, K. Haugan, J. Węcławski, G. Radoslovich, S. Jamal, A. Brandes, P. T. Matusik, M. Manninger, P. B. Meyre, S. Blum, A. Persson, A. Måneheim, P. Hammarlund, A. Fedorowski, T. Wodaje, C. Lewinter, V. Juknevicius, R. Jakaite, C. Shen, T. Glotzer, P. Platonov, G. Engström, A. P. Benz, J. S. Healey

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Fingerprint

Dive into the research topics of 'Artificial intelligence for direct-to-physician reporting of ambulatory electrocardiography'. Together they form a unique fingerprint.

Medicine and Dentistry

Neuroscience

Psychology

Biochemistry, Genetics and Molecular Biology

Pharmacology, Toxicology and Pharmaceutical Science

Keyphrases