Tag: medical imaging AI

Researchers in China have developed a U-Net-based deep learning framework that measures fetal ventricular width from ultrasound with near-expert consistency, ...

A new multi-task AI framework called TAZD-Net segments thyroid nodules and predicts malignancy by explicitly reasoning over the lesion, its ...

Researchers in Pakistan trained deep learning models to distinguish four histopathologically similar inflammatory skin diseases with up to 96.67 percent ...

A new semi-supervised AI framework called URDT-Net combines dual-teacher learning, topology-aware training, and an early-exit mechanism to segment abdominal organs ...

Researchers have developed a crow-inspired, reference-free optimization framework that automatically tunes all hyperparameters of iterative CBCT reconstruction algorithms, delivering consistently ...

Researchers have unveiled TomoMamba, a two-stage AI framework that uses selective state-space models to propagate features across DBT slices, achieving ...

A modular study of multimodal AI shows audiologist-guided prompts dramatically improve hearing-test interpretation, while no-response handling and cross-model reliability remain ...

Researchers have developed CROWN, a self-supervised visual foundation model pretrained on more than ten million cytology images that achieved top ...

A locked uncertainty-aware AI triage model safely automated about 37 percent of cervical lymph node ultrasound cases while deferring the ...

Researchers have developed an AI framework that learns to automatically guide an ultrasound probe to liver target views by imitating ...