FDA Radiology AI Devices

The uMI Panorama is a combined PET/CT diagnostic imaging system designed to assist healthcare professionals in detecting and evaluating diseases like cancer, heart, and neurological disorders. It fuses PET metabolic functional imaging and CT anatomical imaging with advanced AI algorithms to improve image quality, reduce artifacts, and enhance diagnostic confidence. It supports PET/CT and single modality CT imaging, including low dose CT lung cancer screening, providing comprehensive information for patient management.

The uMI Panvivo is a combined PET/CT imaging system designed to provide high-quality functional and anatomical images to help clinicians detect, localize, evaluate, and monitor abnormalities such as tumors, lesions, infections, and other conditions across various body areas. It supports better patient experience with a large bore and advanced iterative reconstruction algorithms aided by deep learning, improving image quality and diagnostic accuracy. Additionally, it assists in radiotherapy planning and interventional radiology procedures.

The uMI Panorama is a diagnostic imaging system combining PET and CT scans to provide both functional and anatomical information of the body. It helps healthcare professionals detect and evaluate diseases in oncology, cardiology, and neurology by offering fused metabolic and anatomical images. The device includes AI-based software updates to improve image reconstruction and analysis, enhancing diagnostic accuracy and patient management.

The uMI Panorama is a PET/CT system that provides combined metabolic and anatomical imaging to assist healthcare professionals in detecting, diagnosing, staging, and managing various diseases including oncology, cardiology, and neurology conditions. It supports both PET and standalone CT imaging and can be used for low dose CT lung cancer screening, enhancing patient care with fused functional and anatomical images.

The uMI Panorama is a diagnostic imaging system that combines PET and CT imaging modalities to provide detailed metabolic and anatomical information. It assists clinicians in detecting, diagnosing, staging, and managing diseases, inflammation, infection, and disorders in multiple clinical fields. This system can also independently function as a CT scanner for lung cancer screening and delivers enhanced image reconstruction through AI algorithms, improving image quality and diagnostic accuracy.

HYPER AiR is a software device that enhances PET images by using pre-trained neural networks integrated into the image reconstruction process. It helps radiologists and nuclear medicine physicians by reducing noise and improving image contrast in fluorodeoxyglucose (FDG) PET scans, thereby potentially improving diagnostic confidence.

HYPER DLR is a software-only device that applies a pre-trained convolutional neural network to reduce noise in fluorodeoxyglucose (FDG) PET images. It improves image quality by distinguishing and removing noise components while preserving image details, aiding radiologists and nuclear medicine physicians in better image interpretation.