Annalise Enterprise CXR Triage Pneumothorax is a software tool that uses artificial intelligence to analyze adult chest x-rays for signs of pneumothorax and tension pneumothorax. It assists trained clinicians by automatically prioritizing and triaging cases in their worklist, enabling faster attention to urgent findings. The device integrates with hospital imaging systems and helps optimize workflow without replacing clinical judgment.
Deep Learning Image Reconstruction (DLIR) by GE Medical Systems is an AI-powered CT image reconstruction method that uses a deep neural network to produce high-quality cross-sectional images of the head and whole body. It supports multiple CT acquisition types and enhances image quality by reducing noise and artifacts, helping clinicians get clearer and more accurate imaging results.
Viz ANEURYSM is an AI-powered software that analyzes CT angiogram images of the head to detect suspected aneurysms of at least 4mm. It helps radiologists prioritize patient studies by flagging and highlighting cases with suspected aneurysms in a standalone application. This assists in faster triage and review, improving workflow efficiency while ensuring diagnostic decisions remain with the radiologist.
The Voluson P6 and Voluson P8 are general-purpose diagnostic ultrasound systems designed for use by trained healthcare professionals. These systems support a variety of clinical applications, including fetal/obstetrics, abdominal, cardiac, pediatric, vascular, musculoskeletal, and small organ imaging. They provide high-quality real-time imaging, including 3D/4D modes, and Doppler imaging types, aiding clinicians in the diagnosis and monitoring of patients in hospital or clinical settings.
The SIGNA Artist Evo is a whole-body magnetic resonance imaging (MRI) scanner designed to provide high resolution and high signal-to-noise ratio images with short scan times. It supports imaging multiple body regions such as the head, spine, heart, abdomen, pelvis, and musculoskeletal systems. The images produced help clinicians diagnose a wide range of medical conditions based on molecular and anatomical information from MRI signals.
Rapid is a medical image processing software that helps clinicians visualize and analyze tissue changes in CT and MRI images, particularly aiding in the selection of acute stroke patients for treatment. It uses AI/ML components to detect image artifacts and supports advanced imaging features such as perfusion, diffusion and dynamic contrast analysis.
The Micro C Medical Imaging System, M01 by OXOS Medical, Inc. is a handheld, portable mobile X-ray device intended for use by trained clinicians to capture diagnostic images of extremities. It features an AI-based software called AiLARA that recommends power settings and exposure times to optimize image quality and reduce retakes, enhancing clinician efficiency and patient safety.
The Revolution Ascend is a CT scanner designed to generate detailed cross-sectional images of various body parts including the head, whole body, cardiac, and vascular areas. It uses x-ray transmission data taken at different angles and planes. The device supports multiple acquisition modes and post-processing of images, aiding clinicians in diagnosing disease, trauma, and abnormalities, as well as planning and monitoring therapy.
Contour ProtégéAI by MIM Software Inc. is an AI-powered software tool that helps trained medical professionals automatically create contours of anatomical structures on CT and MRI scans. The software uses machine-learning algorithms to segment normal organs and tissues, aiding in quantitative analysis and radiation therapy planning. It is intended to improve workflow efficiency and treatment accuracy by automating tedious contouring tasks.
syngo.CT Brain Hemorrhage is an AI-driven software that assists radiologists by analyzing non-contrast head CT scans to prioritize cases suspicious for acute intracranial hemorrhage. It flags findings to improve workflow efficiency by enabling faster review of urgent cases but is not intended for standalone diagnosis.
Subscribe to join 7,400+ peers who rely on RadAI Slice. Get the essential weekly briefing that empowers you to navigate the future of radiology.
We respect your privacy. Unsubscribe at any time.