ClinicalTrials.gov
public full text
Public Domain
Digital Health Intervention Based on Artificial Intelligence to Support the Personalized Recovery of Long COVID Patients Affected by Fatigue (AIDA)
The AIDA feasibility study builds upon mental health and technology acceptance theoretical frameworks. It examines the feasibility of a mobile-based digital program to support patients with long covid affected by fatigue. The program Adhera ® Fatigue Self-management is adapted for long covid patients.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Perceived digital health information support and self-rated health among Chinese adults: physical activity mediation and chronic health condition moderation.#1001000
- Generative Artificial Intelligence Chatbots for Motivational Interviewing: A Scoping Review From System Design to Intervention Outcomes#1034876
- Functionality Review of Mobile Apps for the Tracking and Self-Management of Fatigue: Systematic Search in App Stores and Content Analysis.#449963
- Physical Activity Interventions Using Digital Health Interventions for Cancer-Related Fatigue in People With a History of Cancer: Scoping Review.#320648
- ICBT for Psychological Symptoms Related to the COVID-19 Pandemic Remaining After Societal Opening#826045
Record · ID 1112098
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive