These characteristics include luminal cancers, dense breast tissue, nonmammary zone locations, architectural distortions, and…
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DL model improves detection of breast arterial calcifications
Researchers have developed a deep-learning (DL) model that can find and characterize breast arterial calcifications on mammograms…
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DL algorithm shows promise for opportunistic CAC evaluation on CT
The findings could improve patient care, as the presence of coronary artery calcium (CAC) is a key predictor of cardiovascular…
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Supervision needed for ChatGPT responses to breast health questions
ChatGPT-3.5 provided good answers for general breast health questions, but it fell short for questions related to pregnancy and…
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FDA issues final order reclassifying radiological CAD software
Computer-assisted detection (CAD) and diagnosis algorithms used in radiology move from the class III to the class II category.
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AI improves MRI diagnosis of prostate cancer
AI assistance can help diagnose clinically significant prostate cancer on MRI.
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How technology and strategic partnerships can future-proof medical imaging
Intelerad CEO Jordan Bazinsky shares his perspective on the future of medical imaging.
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AI quantifies brain changes from post-CAR-T cell therapy complication
Researchers recently explored the use of a deep-learning algorithm to quantify ICANS neurotoxicity following CAR T-cell therapy…
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AI model predicts breast cancer risk in diverse population
An AI-based breast cancer risk-prediction model performed well in a diverse study population.
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Clairity deploys AI for breast cancer risk prediction
Clairity believes that its new AI software can deliver improvements over traditional breast cancer risk-prediction models.