High-sensitivity pan-cancer AI assessment of lymph node metastasis via uncertainty quantification - PubMed
4 hours ago
- #lymph node metastasis
- #uncertainty quantification
- #AI diagnostics
- UPATHLN is a high-sensitivity AI platform for assessing lymph node metastasis across various cancers.
- It uses a pathology foundation model-based encoder and a decoupled uncertainty estimation mechanism to improve accuracy.
- Validated on 26,229 lymph nodes from 14 primary origins, it achieved an AUC of 0.986 in internal validation.
- The uncertainty module flags potential false-negative predictions, ensuring 100% conditional sensitivity.
- It reduces the review burden on negative lymph nodes by 73.2%.
- UPATHLN sets a new benchmark for safety-critical AI diagnostics at the pan-cancer scale.
- Authors have filed a patent related to the uncertainty-aware module and active learning framework.