Patient-centered modeling of the breast biopsy experience
Our findings highlight the potential of combining data to model patient experience during a medical procedure. Our work helps to develop digital twins of medical procedures to support clinicians to provide proactive care and mitigate patient distress.
Authors
- Göran Köber (ORCID: https://orcid.org/0000-0001-7038-0860)
- Elvira V. Lang (ORCID: https://orcid.org/0000-0002-4348-5138)
- Nicolas Rohleder (ORCID: https://orcid.org/0000-0003-2602-517X)
- Oliver Amft (ORCID: https://orcid.org/0000-0001-6811-3659)
- Muhammad Sharif (ORCID: https://orcid.org/0000-0002-1954-5778)
- Isabel Nieto-Alvarez
- Erik Bojorges-Valdez
Institutions
- University of Freiburg (DE)
- Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
- Universidad Iberoamericana (MX)
- Hahn-Schickard-Gesellschaft für angewandte Forschung (DE)
- Policy Analysis (United States) (US)
- Siemens Healthineers (Germany) (DE)
Publication Details
- Journal
- Frontiers in Artificial Intelligence
- Published
- 2025-10-14
- DOI
- https://doi.org/10.3389/frai.2025.1618357
- Citations
- 1
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 2.48