HexMIL lifts unseen medical-deepfake AUC 9.1 points

HexMIL beat baseline detectors by 9.1 AUC points and 9.4 F1 points when tested on CT manipulations made by unseen generators, according to the ACM Multimedia 2026 paper. Its hierarchy of patch- and slice-level attention also localizes altered regions without pixel-level labels, though the authors report results on two datasets rather than clinical deployment. For operators confronting the risks described in the analysis of AI as a consumer-health interface, the result makes cross-generator evaluation—not a detector’s familiar-generator score—the useful procurement gate.