AI-augmented intraoperative decision-making workflows in diffuse midline glioma biopsy using cryosection pathology.

ABSTRACT: Cryosection pathology is essential for intraoperative diagnosis of diffuse midline gliomas, yet it often leads to diagnostic errors and may prompt unnecessary re-biopsies before completion of the formal molecular assessment. In this study, we propose an AI-augmented framework, CryoAID, for rapid molecular outcome prediction during surgery for patients with diffuse midline glioma. CryoAID integrates a generative model to correct cryosection artefacts and a pathology foundation model to predict molecular statuses directly from cryosection images. We validate CryoAID across multiple cohorts to predict tumoural molecular statuses in the internal (n = 326), external multi-centre (n = 52), and consecutive (n = 68) datasets. In particular, CryoAID accurately predicts major molecular statuses (e.g

SUBMITTER: Yuan Y 

PROVIDER: S-EPMC12749771 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature