AI can streamline breast MRI by recommending which patients need fewer imaging sequences mid-exam.
Key Details
- 1AI models can evaluate breast MRI images in real time to determine whether additional imaging sequences are needed.
- 2Standard breast MRI protocols are often lengthy, with sequences that may not be necessary for all patients.
- 3The research, published in Radiology, found AI triage could personalize scan protocols to each patient, reducing imaging time and costs.
- 4Study was conducted by researchers at Memorial Sloan Kettering Cancer Center.
Why It Matters
Streamlining MRI protocols with AI can improve clinical efficiency, reduce scan times for patients, and optimize use of imaging resources. This approach could lower costs and expand access while maintaining diagnostic quality.
Source
Health Imaging
Related News
•AuntMinnie
Toronto Study: LLMs Must Cite Sources for Radiology Decision Support
University of Toronto researchers found that large language models (LLMs) such as DeepSeek V3 and GPT-4o offer promising support for radiology decision-making in pancreatic cancer when their recommendations cite guideline sources.
•AuntMinnie
AI Model Using Mammograms Enhances Five-Year Breast Cancer Risk Assessment
A new image-only AI model more accurately predicts five-year breast cancer risk than breast density alone, according to multinational research presented at RSNA 2025.
•Radiology Business
AI Model Uses CT Scans to Reveal Biomarker for Chronic Stress
Researchers developed an AI model to measure chronic stress using adrenal gland volume on routine CT scans.