AI-Enhanced Real-Time Data Analysis for Nuclear Medicine
University of Pittsburgh researchers have developed a novel method and apparatus for real-time tracking of radioactivity and automated calculation of ejection fractions during dynamic nuclear medicine procedures. This technology leverages an advanced AI algorithm to detect and track organs of interest and calculate ejection fractions frame-by-frame, enhancing workflow efficiency and patient safety.
Description
The invention involves a multi-layered AI approach that includes AI software to automatically detect and draw regions of interest (ROI) around organs in each image frame, computational refinement layers to minimize artifacts such as patient motion and optimize AI output, and automated calculation of ejection fractions after excluding bad data. This technology addresses the limitations of current nuclear medicine imaging protocols, which are outdated and lack flexibility. By integrating AI, the invention offers real-time data evaluation, improving the efficiency and accuracy of nuclear medicine procedures.Applications
• Real-time tracking of radioactivity in organs• Automated calculation of ejection fractions
• Enhanced nuclear medicine imaging workflows
• Improved patient safety and care quality