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GeneralAI / InformaticsResearch

ViT-radiomics fusion improves US lymph node classification in multicenter study

A ViT-radiomics fusion model achieved an AUC of 0.95 (95% CI 0.91-0.98) for classifying benign vs malignant lymph nodes on ultrasound in a multicenter study, outperforming radiomics alone (AUC 0.79). Domain adaptation boosted external performance from 0.73 to 0.85.

La Radiologia medica
Chest / ThoracicAI / InformaticsResearch

Sybil lung cancer risk model shows high accuracy in Black-predominant screening cohort

Sybil, a deep learning model using a single low-dose CT, predicted future lung cancer with area under the curve (AUC) 0.91 at 1 year (95% CI 87.7-94.6) and 0.82 at 6 years, with similar performance in Black and non-Black individuals in 5,883 LDCTs (64.9% Black).

Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer
Chest / ThoracicEducationTrainee

HRCT in CTD-ILD: Advances in diagnosis and prognosis

For CTD-ILD, HRCT assessment still relies on conventional visual/semiquantitative scoring; quantitative CT and AI are emerging complementary tools. Most evidence in systemic sclerosis, RA, inflammatory myopathy. Validation needed.

World journal of radiology
Chest / ThoracicPediatricGuidelineTrainee

New Guideline Advises Against Routine CT for Pediatric Empyema

New evidence-based guideline for pediatric empyema: routine CT not recommended over ultrasound (conditional recommendation, very low certainty). No clinical, radiological, or laboratory predictors of medical management failure identified.

Indian pediatrics
Neuro / Head & NeckAI / InformaticsResearch

How CAD Performance Changes with Sequential Institution Addition in Federated Learning

CAD software performance for cerebral aneurysm and brain metastasis detection improved when institutions were added sequentially in federated learning, with fine-tuning strategies achieving comparable gains to full fine-tuning using fewer parameters.

International journal of computer assisted radiology and surgery
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