Artificial intelligence technologies and compassion in healthcare: A systematic scoping review
Background Advances in artificial intelligence (AI) technologies, together with the availability of big data in society, creates uncertainties about how these developments will affect healthcare systems worldwide. Compassion is essential for high-quality healthcare and research shows how prosocial caring behaviors benefit human health and societies. However, the possible association between AI technologies and compassion is under conceptualized and underexplored. Objectives The aim of this scoping review is to p…
Artificial intelligence technologies and compassion in healthcare: A systematic scoping review: Compassion is essential for high-quality healthcare and research shows how prosocial caring behaviors benefit human health and societies.
Evidence
- Peer-reviewedFrontiers in Psychology2023-01-17
- Peer-reviewedFrontiers in Psychology2026-01-14
- Peer-reviewedProceedings of the AAAI/ACM Conference on AI, Ethics, and Society2024-10-16
Truvace Impact Record TRV-2026-0063, v5: “Artificial intelligence technologies and compassion in healthcare: A systematic scoping review.” Truvace, 2026-07-13. /record/TRV-2026-0063 (accessed at citation time). sha256 2a372e5061784874…
Calibration history
Every change to this record since certification, in the open.
Model backfill: source did not support a publishable AI-impact claim
Reading revised
Source set updated
Source set updated
Certified into the record
How to verify without trusting this page
Fetch the canonical text of any version from /api/record/TRV-2026-0063 and hash it yourself — for example shasum -a 256 on the saved canonical field. The result must equal content_hash, and each version’s text ends with prev:followed by the prior version’s hash (version 1 chains to 64 zeros). If a single character of any version had been altered since certification, the chain would not reproduce.
ace