New AI models improve CT and CBCT metal artifact reduction

Researchers introduced SCMA, a structure-conditioned flow matching model for CT metal artifact reduction, alongside a Cycle-Consistent Adversarial Network for dental CBCT. Both methods aim to mitigate beam hardening and photon starvation artifacts that obscure clinical imaging.