Artificial intelligence for direct-to-physician reporting of ambulatory electrocardiography - Johnson, L. S.; Zadrozniak, P.; Jasina, G.; Grotek-Cuprjak, A.; Andrade, J. G.; Svennberg, E.; Diederichsen, S. Z.; McIntyre, W. F.; Stavrakis, S.; Benezet-Mazuecos, J.; Krisai, P.; Iakobishvili, Z.; et al. (Nature medicine, 2025)
Keywords: 692/699/75/29; 692/700/139; Aged; Algorithms; Annotations; Arrhythmia; Arrhythmias, Cardiac - diagnosis; Arrhythmias, Cardiac - physiopathology; Artificial Intelligence; Biomedical and Life Sciences; Biomedicine; Cancer Research; Cardiac arrhythmia; Cardiology and Cardiovascular Disease; Clinical Medicine; Confidence intervals; Deep learning; EKG; Electrocardiography; Electrocardiography, Ambulatory - methods; Female; Health care access; Humans; Infectious Diseases; Kardiologi och kardiovaskulära sjukdomar; Klinisk medicin; Machine learning; Male; Medical and Health Sciences; Medicin och hälsovetenskap; Metabolic Diseases; Middle Aged; Molecular Medicine; Neurosciences; Patients; Physicians; Sensitivity; Technicians