Radiology reports
PulseAugur coverage of Radiology reports — every cluster mentioning Radiology reports across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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New AI framework improves 3D medical imaging analysis by mitigating false negatives
Researchers have developed Multimodal Semantic-Aware Contrastive Learning (MseaCL), a new framework designed to improve the accuracy of AI models in 3D medical imaging analysis. This method addresses the issue of "false…
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Federated learning in radiology reports poses significant privacy risks, study finds
A new study published on arXiv evaluates the privacy risks associated with federated learning (FL) in the context of radiology reports. Researchers found that sensitive information from these reports can be reconstructe…
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New ASAP framework enhances medical scan representation learning
Researchers have introduced ASAP, a new pre-training framework designed to improve the learning of representations from medical volumetric scans like chest CTs. This framework incorporates anatomical knowledge and dynam…
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EXACT model offers explainable anomaly detection for 3D chest CT scans
Researchers have developed EXACT, a novel foundation model designed for analyzing 3D chest CT scans. This model learns spatially resolved representations from paired CT scans and radiology reports, enabling it to not on…