Clinically Explainable Disease Diagnosis based on Biomarker Activation Map
The BAM can improve the clinical applicability of an AI-based disease classifier by providing intuitive output clinicians can use to understand and verify the diagnostic decision.
Authors
- Carol A. Wang (ORCID: https://orcid.org/0000-0002-4301-3974)
- Thomas S. Hwang (ORCID: https://orcid.org/0000-0002-0535-4823)
- Steven T. Bailey (ORCID: https://orcid.org/0000-0003-4949-1464)
- Pengxiao Zang (ORCID: https://orcid.org/0000-0003-1933-8012)
- Tristan T. Hormel (ORCID: https://orcid.org/0000-0002-7242-1934)
- Yali Jia
Institutions
- Oregon Health & Science University (US)
- Association of Jesuit Colleges and Universities (US)
Publication Details
- Journal
- IEEE Transactions on Biomedical Engineering
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1109/tbme.2025.3614518
- Citations
- 1
- Primary Topic
- Biomedical Text Mining and Ontologies
- Type
- article
- Field-Weighted Citation Impact
- 0.81