arXiv AI
Multi-Site Real-World Performance of Commercial AI for Pulmonary and Incidental Pulmonary Embolism Detection
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Unified-protocol voxel-level pulmonary embolism annotations for three public CT angiography datasets
arXiv:2608.24486v2 Announce Type: replace-cross Abstract: Reliable clot-volume quantification and subsequent risk assessment in pulmonary embolism depend on precise segmentation of emboli on computed...
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Model Effect or Label Effect? Refined Annotations and a Human-Referenced Benchmark for Pulmonary Embolism Segmentation
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Fine-tuning an ECG Foundation Model to Predict Coronary CT Angiography Outcomes
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Auditable CT Phenotyping Through Report-derived Radiological Observations
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arXiv AI
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RadAgent: A tool-using AI agent for stepwise interpretation of chest computed tomography
arXiv:2604. 15231v2 Announce Type: replace Abstract: Vision-language models (VLM) have markedly advanced AI-driven interpretation and reporting of complex medical imaging, such as computed tomography (CT).