ClinicalTrials.gov
public full text
Public Domain
PAIN (Pain AI iNtervention) Platform for Patients at Home
The purpose of this research is to identify physiological markers to determine pain intensity and build an Artificial Intelligence (AI) enabled system to objectively measure pain intensity. Researchers hope to personalize pain medication regimens to help prevent medication over-use.
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
- Integrating Artificial Intelligence For Personalized Cancer Pain Management: A Comprehensive Study On Healthcare Professionals’ Perspectives, Development Of Pain Detection Method And User’s Acceptance#416933
- Potential applications of artificial intelligence in pain management: a scoping review.#678379
- Global trends and hotspots of artificial intelligence in pain management: A bibliometric analysis.#285062
- Artificial intelligence in pediatric pain: a systematic review.#446161
- Beyond the Algorithm: A Critical and Evidence-Based Review of Artificial Intelligence in Chronic Pain Rehabilitation.#483360
Record · ID 1164626
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