ClinicalTrials.gov
public full text
Public Domain
Generative AI for Sleep Promotion
Sleep is a major public health concern in the United States. Major guidelines recommend that adults obtain at least 7 hours of sleep per night. More than 25% of U.S. adults do not meet this recommendation, and 14.5% report difficulty falling asleep on most days or every day during the past month. The investigators developed a low-cost, easily accessible sleep intervention using artificial intelligence (AI) technologies. The purpose of this study is to examine the effect of this intervention on sleep outcomes among U.S. adults.
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
- SLEEP HEALTH AND ADVERSE HEALTH OUTCOMES FROM SLEEP DISTURBANCES#2207
- Improving Sleep, Sleep-related Outcomes, and Biomarkers in Veterans#892811
- Measuring Sleep Disturbance Among Cancer Patients#905676
- Feasibility of a Sleep Improvement Intervention for Weight Loss and Its Maintenance in Sleep Impaired Obese Adults#863068
- An Exploratory Investigation of a Supplement to Enhance Sleep Quality and Quantity#1172572
Record · ID 872366
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