Search Results - jayaram+udupa

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Human-AI Hybrid Intelligence Model to Accurately Recognize and Segment Organs on Medical Scans 70% Faster Than Physicians
AAR-DL (Automatic Anatomy Recognition – Deep Learning) is a hybrid intelligence recognition and delineation segmentation model that outputs automatically delineated organs in medical images by combining natural intelligence’s (i.e., human knowledge’s) and artificial intelligence's strengths to map organs and their boundaries in...
Published: 6/24/2024   |   Inventor(s): Jayaram Udupa, Tiange Liu, Dewey Odhner, Chao Jin, Yubing Tong, Drew Torigian
Keywords(s): Artificial Intelligence (AI) & Machine Learning, Data Science, Healthcare IT, Oncology, Platform Technology, Radiology, Software
Category(s): Technology Classifications > Computer Information Systems, Technology Classifications > Diagnostics, Technology Classifications > Imaging
Scanner Independent Method for Medical Image Standardization
A computer algorithm to standardize medical images acquired using positron emission tomography. Problem: Positron emission tomography (PET) is a commonly utilized imaging modality used for body-wide assessments of a variety of diseases, including cancer. Measurements derived from PET images are used to make diagnostic, staging, and treatment decisions...
Published: 1/12/2024   |   Inventor(s): Jayaram Udupa, Aliasghar Mortazi, Yubing Tong, Drew Torigian, Dewey Odhner
Keywords(s): Artificial Intelligence (AI) & Machine Learning, Oncology, Radiology
Category(s): Technology Classifications > Imaging