Radiology AI News
FDA Clears First AI Tool for 5-Year Breast Cancer Risk Prediction from Mammograms
Clairity Breast becomes the first FDA-authorized AI software to predict five-year breast cancer risk using routine mammography images.
Explainable Deep Learning Model Enhances Liver Cancer MRI Diagnosis
An explainable deep learning AI model using gadoxetic acid-enhanced MRI improves sensitivity in diagnosing hepatocellular carcinoma (HCC).
See All AI Raises $33M to Transform Intraoperative Imaging
See All AI raises $33M to advance its AI platform that generates 3D surgical images from 2D fluoroscopic X-rays, potentially reducing reliance on pre-op CT and MRI scans.
AI Model Advances Automated Video-Based Assessment of Facial Palsy
A refined AI tool using facial landmark detection improves the objective evaluation of facial palsy severity in clinical videos.
AI Tackles Medication Errors, Clinical Decision Support, and Regulatory Shifts
AI-based tools are advancing medication error prevention and clinical decision support in healthcare, with major regulatory and implementation implications.
Osaka Researchers Develop Ultra-Low Power EEG Measurement System
University of Osaka develops a high-precision, ultra-energy-efficient EEG system based on waveform similarity and compressed sensing.
Top Insights from SIIM Meeting: AI, Advanced Imaging, and Report Quality
Highlights from the SIIM annual meeting focus on AI in radiology, advanced imaging trends, and innovations in report quality.
Essential Digital Health Skills for Tomorrow’s Physicians Highlighted
A New Zealand study outlines four digital health skillsets medical schools should teach, including AI, to better prepare future doctors.
Nabile Safdar Shares Insights on AI Integration in Radiology Training
Dr. Nabile Safdar outlines best practices for incorporating AI into radiology education at SIIM 2024.
AI Model Shows Strong Performance for Lumbar Spine MRI Analysis
Researchers presented DeepSpine, a deep-learning model that automates comprehensive lumbar spine MRI analysis, achieving high accuracy in classifying degenerative spine pathologies.
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