AI for IMPACTS Framework for Evaluating the Long-Term Real-World Impacts of AI-Powered Clinician Tools: Systematic Review and Narrative Synthesis
BackgroundArtificial intelligence (AI) has the potential to revolutionize health care by enhancing both clinical outcomes and operational efficiency. However, its clinical adoption has been slower than anticipated, largely due to the absence of comprehensive evaluation framew...
Saved in:
| Main Authors: | Christine Jacob, Noé Brasier, Emanuele Laurenzi, Sabina Heuss, Stavroula-Georgia Mougiakakou, Arzu Cöltekin, Marc K Peter |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
JMIR Publications
2025-02-01
|
| Series: | Journal of Medical Internet Research |
| Online Access: | https://www.jmir.org/2025/1/e67485 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
AI education for clinicians
by: Tim Schubert, et al.
Published: (2025-01-01) -
Clinicians must participate in the development of multimodal AI
by: Christopher R.S. Banerji, et al.
Published: (2025-06-01) -
Impact of AI- Powered Translation Tools
by: Devina Krishna, et al.
Published: (2025-06-01) -
A.I. and the rewiring of Madrid: Narratives of Water, Energy, and the Built World
by: Cem Kayatekin
Published: (2025-03-01) -
AI for mental health: clinician expectations and priorities in computational psychiatry
by: Leo Fischer, et al.
Published: (2025-06-01)