Artificial intelligence-based approaches for advance care planning: a scoping review
Most studies report models with promising results for predicting patient outcomes and supporting decision-making, but significant challenges remain, particularly regarding data and code availability. Future research should prioritize transparency and open-source code to facilitate rigorous evaluation. There is scope to explore novel AI-based approaches to ACP, including to support processes surrounding the review and updating of ACP information.
Authors
- William Goodman (ORCID: https://orcid.org/0000-0002-8936-0787)
- Izidor Mlakar (ORCID: https://orcid.org/0000-0002-4910-1879)
- Suzanne Timmons (ORCID: https://orcid.org/0000-0001-7790-9552)
- Grega Močnik (ORCID: https://orcid.org/0000-0001-6697-8931)
- Matthew Allsop (ORCID: https://orcid.org/0000-0002-7399-0194)
- Umut Ariöz (ORCID: https://orcid.org/0000-0002-6476-4494)
- Kseniya Y. Simbirtseva
Institutions
- University of Leeds (GB)
- University College Cork (IE)
- University of Maribor (SI)
Publication Details
- Journal
- BMC Palliative Care
- Published
- 2025-10-23
- DOI
- https://doi.org/10.1186/s12904-025-01827-x
- Citations
- 3
- Primary Topic
- Palliative Care and End-of-Life Issues
- Type
- article
- Field-Weighted Citation Impact
- 5.64