Peer-reviewedCC BY 4.0European Heart Journal. Cardiovascular Pharmacotherapy
From digital reminders to artificial intelligence–enabled understanding: can personalized treatment predictions improve therapeutic adherence?
Abstract
Graphical Abstract: Graphical AbstractFor graphical abstract description, please refer to the textual abstract.
Related
- Athlete-AI: a multi-modal artificial intelligence framework for personalized athlete monitoring and injury risk forecasting
- WITHDRAWN: Relevance Based Prediction: A Transparent, Non-Artificial Intelligence, Mathematical Solution to Personalized Opioid Treatment
- Personalized Remote Patient Management in Heart Failure : From Implanted Hemodynamic Monitoring Toward an Artificial Intelligence-Supported Adaptive Care Cycle.
- Artificial Intelligence in Chronic Rhinosinusitis: From Molecular Profiling to Personalized Clinical Management—A Systematic Review
- Understanding and Mitigating Bias From Artificial Intelligence in Otolaryngology: A State‐of‐the‐Art Review
BibTeX
@article{goutaudier2026from,
title = {{From digital reminders to artificial intelligence–enabled understanding: can personalized treatment predictions improve therapeutic adherence?}},
author = {Valentin Goutaudier and Jean-Sébastien Hulot},
journal = {European Heart Journal. Cardiovascular Pharmacotherapy},
year = {2026},
month = sep,
doi = {10.1093/ehjcvp/pvag079},
url = {https://doi.org/10.1093/ehjcvp/pvag079},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - From digital reminders to artificial intelligence–enabled understanding: can personalized treatment predictions improve therapeutic adherence?
AU - Valentin Goutaudier
AU - Jean-Sébastien Hulot
PY - 2026
DA - 2026/09/22
JO - European Heart Journal. Cardiovascular Pharmacotherapy
DO - 10.1093/ehjcvp/pvag079
UR - https://doi.org/10.1093/ehjcvp/pvag079
AB - Graphical Abstract: Graphical AbstractFor graphical abstract description, please refer to the textual abstract.
SN - 2055-6837
SN - 2055-6845
ER -