Evaluation of AI-enhanced tele-ECG response time and diagnosis in acute chest pain patients
Most ECGs are interpretable, but clearer tracings are needed. Quick response times are likely due to early AI detection of abnormalities. The low occurrence of acute myocardial infarction and other prognostic indicators suggests a low-risk group using the emergency department as their main healthcare access point.
Authors
- Karen Köhler (ORCID: https://orcid.org/0000-0002-8348-4623)
- Fábio Grunspun Pitta (ORCID: https://orcid.org/0000-0001-7574-757X)
- Flávio Tocci Moreira (ORCID: https://orcid.org/0000-0001-6574-3866)
- Juliane Rompkoski (ORCID: https://orcid.org/0000-0002-0892-3067)
- Karine De Amicis Lima (ORCID: https://orcid.org/0000-0002-9936-2436)
- Carlos Henrique Sartorato Pedrotti (ORCID: https://orcid.org/0000-0002-0634-7086)
- Renata Albaladejo Morbeck (ORCID: https://orcid.org/0000-0003-1789-1738)
- Tarso Augusto Duenhas Accorsi (ORCID: https://orcid.org/0000-0002-8023-3466)
Institutions
- Hospital Israelita Albert Einstein (BR)
Publication Details
- Journal
- Frontiers in Cardiovascular Medicine
- Published
- 2025-11-20
- DOI
- https://doi.org/10.3389/fcvm.2025.1532770
- Citations
- 2
- Primary Topic
- ECG Monitoring and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 2.78