Tumor Board–Inspired Multiagent Artificial Intelligence System for Interpreting Oncology Guidelines
By assigning specialized tasks to AI agents and incorporating visual elements from clinical guidelines, our system outperformed existing tools in accurately answering oncology questions. This pilot study, limited to ASCO guidelines, may improve access to guideline-based care.
Authors
- David M. Swoboda (ORCID: https://orcid.org/0000-0002-6102-1695)
- Aziz Nazha (ORCID: https://orcid.org/0000-0002-6695-7994)
- Kirti Arora (ORCID: https://orcid.org/0009-0004-2694-0866)
- Jiasheng Wang
Institutions
- Thomas Jefferson University (US)
- Tampa General Hospital (US)
- Sidney Kimmel Cancer Center (US)
- Cleveland Clinic Akron General (US)
- The Ohio State University (US)
Publication Details
- Journal
- JCO Clinical Cancer Informatics
- Published
- 2026-01-01
- DOI
- https://doi.org/10.1200/cci-25-00286
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00