AI Method Increases MRI Scan Speed for Breast Cancer
Researchers developed a technique combining artificial intelligence and mathematical models to produce one image per second during dynamic scans.
Category: Machine Learning & AI
Machine Learning & AI
Latest
Machine Learning & AI
Latest
AI Tool Cleared to Help Detect Lung Nodules and Triage Chest Emergencies
New FDA clearances authorize the use of an AI tool to detect lung nodules and help triage pneumothorax and pleural effusion on chest X-rays.
Machine Learning & AI
Latest
AI Can Improve Ovarian Cancer Diagnoses
A study published in Nature Medicine shows that Swedish researchers developed AI models that outperformed human experts in detecting ovarian cancer from ultrasound images, offering improved diagnostic accuracy and reduced need for expert referrals.
ACR Launches AI Quality Registry
The American College of Radiology (ACR) has launched Assess-AI, the first AI quality registry to monitor and analyze the real-world performance of imaging AI algorithms, providing radiology facilities with performance insights, national benchmarks, and tools to ensure safe, effective, and transparent AI integration in clinical practice.
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How AI Is Addressing Unique Challenges in Radiology
In this exclusive interview, Avez Rizvi, MD, CEO of RADPAIR, shares insights into the future of AI in radiology and the role RADPAIR aims to play in creating an AI-driven, patient-focused healthcare environment.
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Google Cloud Report: Gen AI to Revolutionize Radiology
Google Cloud’s new report highlights how generative AI can reduce administrative burdens for radiologists by automating documentation and image analysis, improving efficiency, diagnostic accuracy, and patient care quality.
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Enhancing MRI with AI to Improve Diagnosis of Brain Disorders
University of California, San Francisco researchers developed a machine learning algorithm that enhances 3T MRI images to simulate 7T resolution, improving the detection of brain abnormalities like those in traumatic brain injury and multiple sclerosis.
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Medical Imaging AI Raises Concerns Over Fairness and Transparency
AI is rapidly transforming healthcare, particularly in medical imaging, but concerns over transparency, fairness, and demographic biases remain, as highlighted by a recent study showing that improved model performance does not automatically ensure equitable outcomes.
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