Conversational AI for remote monitoring in heart failure: a prospective controlled pilot study
CAIS follow-up was feasible, well-received, and low-resource, with exploratory signals of improved outcomes. This pragmatic, scalable approach may enhance HF care and warrants validation in randomized trials.
Authors
- Raúl Aguilar López
- Aitor Bilbao Uribarri
- Toni Soriano-Colomé (ORCID: https://orcid.org/0000-0002-2121-6084)
- María Rubio-Valera (ORCID: https://orcid.org/0000-0003-2856-1697)
- Teresa Soriano Sánchez
- Cristina Bocanegra (ORCID: https://orcid.org/0000-0003-0657-5211)
- Ignacio Ferreira‐González (ORCID: https://orcid.org/0000-0002-1208-5561)
- Augusto Sao Avilés
- Eduard Ródenas-Alesina
- Eva Domingo Baldrich
- Tania Maza Pelaez
- Ana B Méndez Fernández
- Alonso Ortega Torregimeno
- Emmanuel Giménez García
- Aleix Olivella
- Maria José Martinez-Zapata
Institutions
- Hebron University (PS)
- Universitat Autònoma de Barcelona (ES)
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (ES)
- Vall d'Hebron Institut de Recerca (ES)
- Centro de Investigación Biomédica en Red (ES)
- Vall d'Hebron Hospital Universitari (ES)
- Parc Sanitari Sant Joan de Déu (ES)
- Iberoamerican Cochrane Centre (ES)
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (ES)
Publication Details
- Journal
- European Heart Journal - Digital Health
- Published
- 2026-02-16
- DOI
- https://doi.org/10.1093/ehjdh/ztag032
- Primary Topic
- Heart Failure Treatment and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- AstraZeneca