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UrduUCLA researchers have developed a deep-learning framework that teaches itself quickly to automatically analyze and diagnose MRIs and other 3D medical images – with accuracy matching that of medical specialists in a fraction of the time.
Tag: Imaging and Diagnostics
MD Anderson Research Highlights for April 24, 2024
The University of Texas MD Anderson Cancer Center’s Research Highlights showcases the latest breakthroughs in cancer care, research and prevention. These advances are made possible through seamless collaboration between MD Anderson’s world-leading clinicians and scientists, bringing discoveries from the lab to the clinic and back.
A New Study Shows How Neurochemicals Affect fMRI Readings
A landmark study, led by Yen-Yu Ian Shih, PhD, at the UNC School of Medicine, shows how neurochemicals can influence blood vessels. The new findings may alter how researchers interpret results from functional magnetic resonance imaging.
WashU awarded up to $20M to create portable device to scan for eye diseases
Chao Zhou, a professor of biomedical engineering in the McKelvey School of Engineering at Washington University in St. Louis, has been awarded an up to $20 million contract from the Advanced Research Projects Agency for Health (ARPA-H).
New Report Provides Strategies for Managing Contrast Shortage
Recent disruptions in a pharmaceutical supply chain have impacted the global availability of GE Healthcare Omnipaque™ iohexol iodinated contrast media (ICM) for radiologic examinations. A new Special Report published in the journal Radiology provides consensus recommendations for dealing with the shortage of ICM in the near term and discusses long-term issues and potential solutions to supply chain problems.
Measuring Hemoglobin Levels with AI Microscope, Microfluidic Chips
A complete blood count can help ascertain the health of a patient and typically includes an estimate of the hemoglobin concentration, which can indicate several conditions, including anemia, polycythemia, and pulmonary fibrosis. In AIP Advances, researchers describe a new AI-powered imaging-based tool to estimate hemoglobin levels. The setup was developed in conjunction with a microfluidic chip and an AI-powered automated microscope that was designed for deriving the total as well as differential counts of blood cells.
Artificial Intelligence Algorithm Can Predict Outcomes of COVID-19 Patients With Mild Symptoms in Emergency Rooms
Technology may lead to quicker triage and treatment based on patient data and scans