Radiology AI News
AI Optimizes Breast MRI by Reducing Unnecessary Scans
AI can streamline breast MRI by recommending which patients need fewer imaging sequences mid-exam.
AI Model Accurately Predicts Breast Cancer Risk Across Diverse Groups
An AI model accurately predicted breast cancer risk in a racially and ethnically diverse screening population using mammogram data.
Clairity Breast AI Wins FDA Nod for Mammography-Based Cancer Risk Prediction
Clairity has received FDA de novo authorization for Clarity Breast, an AI tool that predicts five-year breast cancer risk from screening mammograms.
Generative AI System Improves Radiologist Reporting Efficiency by 40%
Northwestern Medicine's in-house generative AI boosts radiologist productivity by up to 40% in real-world clinical use.
RadNet Acquires See-Mode Technologies to Expand Ultrasound AI Portfolio
RadNet has acquired ultrasound AI vendor See-Mode Technologies, aiming to enhance workflow efficiency and expand its imaging AI offerings.
Live Clinical Trial Finds Generative AI Speeds X-Ray Reporting Without Accuracy Loss
A generative AI model integrated into a live radiology workflow increased x-ray report documentation efficiency by 15.5% with no loss in accuracy.
AI More Than Doubles Detection of Incidental Breast Lesions on CT
AI systems detect twice as many incidental breast lesions on routine CT scans as radiologists.
Proactive Learning Strategies Boost Safety of Hospital AI Models, Study Finds
A York University-led study identifies that continual and transfer learning strategies can mitigate harmful data shifts in clinical AI models used in hospitals.
Florence Doo Discusses Best Practices for AI in Radiology
Florence Doo, MD, shares insights on the effects and best uses of AI in radiology patient care.
Five Essential Capabilities Healthcare AI Must Develop
A thought-leader identifies five crucial capabilities required for AI to succeed in healthcare, including radiology.
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