Azra Alizad, MD

In a new study, Mayo researchers discovered a deep learning model trained on multi-parametric ultrasound data can remarkably improve the classification of metastatic and non-metastatic axillary lymph nodes in breast cancer patients: pubmed.ncbi.nlm.nih.gov/41131649/

Researchers at Mayo are exploring the use of deep learning-based motion correction to improve the accurate classification of thyroid nodules as benign or malignant. Read the study: bit.ly/4kgfJal

Excited about our technology providing high-resolution ultrasound images of tumor microvessls without using contrast agents, a potential noninvasive imaging tool for early cancer detection, prediction of metastasis and treatment monitoring.@MayoRadiology discoverysedge.mayo.edu/2023/10/11/adv…

Dr. Azra Alizad, Dr. Mostafa Fatemi and their team developed and applied a new type of #Ultrasound, quantitative HDMI, with #RadAI to cancer detection and classification. Their research was profiled in @NIH Science Highlights. buff.ly/3N6cd3Y

Very excited about this technology and proud of our research team!