Radiological Society of North America
PulseAugur coverage of Radiological Society of North America — every cluster mentioning Radiological Society of North America across labs, papers, and developer communities, ranked by signal.
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New dataset launched for AI-driven intracranial aneurysm detection · 1 source tracked
The Radiological Society of North America (RSNA), in collaboration with several other medical societies, has curated the RSNA Intracranial Aneurysm (RSNA-ICA) Dataset. This large, publicly available dataset, featuring e…
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New TRUST method enhances breast cancer screening efficiency
Researchers have developed a new training strategy called TRUST, designed to improve the efficiency of breast cancer screening. This method recalibrates the dismissal threshold during training, allowing for the identifi…
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New AI training method boosts cancer screening efficiency
Researchers have developed a new training strategy called threshold-aware training to improve the efficiency of cancer screening. This method recalculates the dismissal threshold during training, specifically penalizing…
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New AI method for clinical data explanations shows promise but struggles with real-world localization
Researchers have developed a novel method called "Pathology Transport" that utilizes optimal transport to create explanations for clinical AI models. This approach models the distributions of healthy and diseased patien…
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Cross-validation improves hyperparameter tuning for medical image AI
A new research paper explores hyperparameter optimization (HPO) for deep learning image classifiers, particularly in medical imaging where small datasets are common. The study compared three HPO protocols: fixed holdout…
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LoRSA framework enhances biomedical vision model generalization
Researchers have developed LoRSA, a novel parameter-efficient fine-tuning framework designed to improve the generalization of vision foundation models in biomedical tasks. This method jointly learns a dense low-rank com…
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Deep learning model predicts pediatric bone age using EfficientNet
Researchers have developed a deep learning approach for predicting pediatric bone age using the EfficientNet architecture, specifically EfficientNetB4 enhanced with additive attention. This method leverages over 12,000 …
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New AI framework improves trauma detection in CT scans
Researchers have developed CT-VDETR, a novel framework for detecting traumatic injuries in CT scans, addressing the challenge of limited voxel-level annotations. The system combines self-supervised pretraining using Mas…
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Geoffrey Hinton said machine learning would outperform radiologists by now
Geoffrey Hinton's 2016 prediction that AI would surpass radiologists within five years has not materialized, according to a physician in residency. Despite significant advancements and numerous AI-enabled medical device…