FDA Radiology AI Devices

The Biograph Trinion is a combined PET/CT imaging system designed to provide high-resolution fusion of metabolic and anatomical information. It assists healthcare professionals in detecting, diagnosing, staging, and managing diseases such as cancer, cardiovascular disorders, and neurological conditions. The system also supports radiotherapy planning and interventional procedures, enhancing diagnostic accuracy and patient care.

The uMI Panvivo is a PET/CT medical imaging system designed to provide combined anatomical and functional images for clinicians. It uses PET to show distribution of radiopharmaceuticals and CT to provide detailed anatomical information. The system supports assessment of metabolic and physiologic functions across various parts of the body including oncology, neurology, and infection imaging. It can also assist in treatment planning for radiotherapy and interventional radiology, improving diagnostic accuracy and patient care.

Hybrid Viewer is a software application used in nuclear medicine and radiology that processes and analyzes imaging data to help clinicians assess physiological or pathological states. It supports predefined workflows optimized for specific nuclear medicine studies and allows quantitative analysis to assist clinical management, though it does not replace visual assessment.

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 Cartesion Prime (PCD-1000A/3) V10.15 is a PET/CT emission computed tomography system designed for diagnostic imaging. It helps clinicians by producing high-quality fused metabolic and anatomical images through PET and CT scans, improved by AI-driven noise reduction and motion correction. This aids in the evaluation, diagnosis, and treatment planning of various diseases such as cancer, cardiovascular and neurological disorders.

Precision DL by GE Healthcare is a deep learning software designed to improve the quality of non-Time-of-Flight PET images used in clinical oncology. It enhances image contrast and reduces noise, helping clinicians obtain clearer PET scans to better detect and evaluate cancer, ultimately supporting improved patient care.

SubtlePET is an advanced software tool designed to improve the quality of PET medical images by reducing noise. Utilizing deep learning algorithms, it enhances image clarity, aiding radiologists and nuclear medicine physicians in interpreting PET scans more accurately. This software integrates smoothly into existing radiology workflows by receiving, processing, and forwarding DICOM images, supporting multiple radiotracers used in PET imaging.

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.

The Biograph Vision and Biograph mCT PET/CT systems from Siemens are advanced imaging machines that combine CT and PET technologies to produce high-resolution images showing both anatomical structures and physiological functions. These systems help healthcare professionals detect, localize, diagnose, and stage various diseases including cancer, cardiovascular, and neurological disorders, and also assist with radiotherapy and interventional procedures.

The Biograph Horizon is a medical imaging system that combines positron emission tomography (PET) and computed tomography (CT) to provide detailed metabolic and anatomical images of the body. It helps clinicians in detecting, diagnosing, and monitoring diseases such as cancer, cardiovascular, and neurological disorders by fusing high-resolution functional and anatomical data, thereby improving treatment planning and clinical decision-making.