Subtle Medical has received a grant for up to $1.6 million from the National Institutes of Health (NIH) to develop an AI solution, SubtleGAD, that could reduce the amount of gadolinium used during MRI scans.
AI can predict when patients undergoing radiation treatment for head and neck cancer may lose significant weight or require a feeding tube, according to findings presented at the 2019 annual meeting of the American Society for Radiation Oncology (ASTRO).
Machine learning models can be trained to extract immunohistochemical (IHC) characteristics from the imaging results of patients with suspected thyroid nodules, according to new research published in the American Journal of Roentgenology.
Two different AI-based methods can identify patients with implantable devices that could pose a safety risk during MRI scans, according to research published in the Journal of the American College of Radiology.
Machine learning models can be trained to learn from how radiologists make decisions when interpreting screening mammograms, according to a new study published in the Journal of Digital Imaging. Such research may have a significant impact if used to train specialists.