CT-integrated pathophysiology-guided, clinically causal cognition-led interpretable lesion context characterization and risk reasoning in lung MWA
By translating imaging features into clinically meaningful, traceable causal frameworks, our hybrid system aligns AI logic with clinical cognition for interpretable lesion-context diagnosis and reliable downstream risk reasoning. This "from black-box to clarity" shift improves trustworthiness and potential clinical utility.
Authors
- Xiangming Wang (ORCID: https://orcid.org/0000-0001-7372-9626)
- Yongzhao Li (ORCID: https://orcid.org/0000-0003-2142-6652)
- Meng Li
- Xinbo Liu (ORCID: https://orcid.org/0000-0001-5857-5921)
- Yang Li (ORCID: https://orcid.org/0000-0003-2327-0444)
- Hui Feng
Institutions
- Hebei Medical University (CN)
- Fourth Hospital of Hebei Medical University (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-12-04
- DOI
- https://doi.org/10.3389/fmed.2025.1682823
- Primary Topic
- Lung Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00