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A New Risk Management Tool for Medical Imaging Software
Deep neural networks (DNNs) help radiologists locate, characterize, and segment tumors. These software tools augment imagery in regions that are otherwise obscured by signal noise or streaks. DNNs reduce imaging session times and thereby reduce radiation exposure. On the other hand, “black box” DNNs defy clinical scrutiny, make patient consultations...
Published: 12/9/2024
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Inventor(s): Nidhal Bouaynaya, Ghulam Rasool, Dimah Dera
Keywords(s): Artificial Intelligence, MRI, Neural Networks, Safety
Category(s): Software
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A Method for Detecting Radiological Progression in Cancer Surveillance
Diagnostic medical imaging technologies such as Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) are noninvasive procedures used to acquire high-resolution images of organs/tissues in the body. These technologies provide valuable information for identifying tissue damage, disease diagnosis, and delivery of radiation therapy. Both of these...
Published: 12/9/2024
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Inventor(s): Nidhal Bouaynaya, Ghulam Rasool
Keywords(s): Cancer, Imaging, Machine Learning, MRI, Quantification, Radiology, Software, Surveillance
Category(s): Software, Human Health Care > Biomarkers, Diagnosis and Detection
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