Back to the future: what patients, carers, nurses and doctors can gain from artificial intelligence-based heart failure solutions
Author:
Affiliation:
1. Queen's University Belfast, Belfast, UK
Publisher
Mark Allen Group
Subject
General Medicine
Link
http://www.magonlinelibrary.com/doi/pdf/10.12968/bjca.2021.0130
Reference9 articles.
1. Artificial intelligence supported patient self-care in chronic heart failure: a paradigm shift from reactive to predictive, preventive and personalised care
2. Insights into heart failure hospitalizations, management, and services during and beyond COVID‐19
3. Effectiveness, acceptability and usefulness of mobile applications for cardiovascular disease self-management: Systematic review with meta-synthesis of quantitative and qualitative data
4. Inadequate Communication Exacerbates the Support Needs of Current and Bereaved Caregivers in Advanced Heart Failure and Impedes Shared Decision-making
5. Self-care research: How to grow the evidence base?
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1. Trustworthy and ethical AI-enabled cardiovascular care: a rapid review;BMC Medical Informatics and Decision Making;2024-09-04
2. Barriers and Facilitators to Trustworthy and Ethical AI-enabled Medical Care From Patient’s and Healthcare Provider’s Perspectives: A Literature Review;2023-10-02
3. Which P is your priority?;British Journal of Cardiac Nursing;2022-03-02
4. Improving congenital heart disease care through virtual reality;British Journal of Cardiac Nursing;2022-02-02
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