TumorSight Viz is software developed by SimBioSys, Inc. that helps doctors visualize and analyze breast MRI images from patients with early-stage or locally advanced breast cancer. It supports dynamic MRI data evaluation by processing images to provide measurements, 3D renderings, and visualizations, which aid clinicians in planning treatment and assessing tumor characteristics. The system is cloud-based and used as a tool to support but not replace clinical decision-making.
MAGNETOM Sola and MAGNETOM Altea are advanced MRI systems designed to produce high-quality transverse, sagittal, coronal, and oblique cross-sectional images. They include AI-powered features such as Deep Resolve Boost and Deep Resolve Sharp for enhanced image reconstruction, improving image quality and diagnostic accuracy. These systems assist clinicians in diagnosis by providing improved visualization of internal structures and functions across the head, body, and extremities, and can also be used during MR-guided interventional procedures.
qXR-LN is an AI-based software device that analyzes frontal chest X-rays to detect and mark suspected lung nodules between 6 and 30 mm. It acts as a second reader to assist physicians like radiologists and pulmonologists, providing adjunctive information to improve detection accuracy without substituting the original image or clinical judgment.
ART-Plan is a radiotherapy treatment planning software that assists clinicians by visualizing and fusing multimodal medical images, automatically segmenting organs and lymph nodes using AI, generating synthetic CT images from MR and CBCT scans, computing dose distributions for radiation therapy, and aiding in treatment adaptation decisions. It enhances workflow efficiency and accuracy for trained professionals managing radiotherapy for cancer patients.
The HM70 EVO Diagnostic Ultrasound System by Samsung Medison is a mobile, software-controlled ultrasound imaging device that captures detailed 2D, 3D, and Doppler ultrasound images across a variety of clinical applications such as obstetrics, cardiology, musculoskeletal, and dermatology. It includes advanced AI-powered features for tasks like nerve detection and uterus assistance to improve diagnostic accuracy, supporting clinicians in making informed patient care decisions.
uOmnispace.MI is an advanced software platform designed to help healthcare professionals view and analyze medical images from PET, CT, MR, and SPECT scans. It facilitates tasks such as image registration, lesion segmentation, and statistical analysis, supporting clinical workflows in oncology, neurology, and cardiology. The software integrates multiple applications including fusion imaging, dynamic analysis, brain scan quantification, and cardiac function analysis, thereby assisting clinicians in making timely and accurate diagnoses.
The United Orthopedic Knee Patient Specific Instrumentation by Enhatch, Inc. is a system that uses AI-powered software to process CT and X-ray images for 3D modeling and preoperative surgical planning of total knee arthroplasty. It includes patient-specific surgical guides to help orthopedic surgeons accurately position knee implants during surgery, improving precision and outcomes for patients without severe bone deformities.
iQ-solutions is a software device designed to automatically identify, annotate, and measure specific brain structures on MRI scans. It helps clinicians by accelerating the quantification process, providing detailed volume analysis reports that support the assessment of brain anatomy and changes over time. The software improves workflow efficiency and consistency in brain MRI analysis.
MAGNETOM Cima.X is an advanced magnetic resonance imaging (MRI) system designed to produce detailed images and spectroscopic data of the head, body, and extremities. It incorporates new and modified hardware and software features including deep learning-based reconstruction methods to enhance image quality and speed, helping clinicians in diagnosis and interventional imaging procedures.
The EW10-EC02 Endoscopy Support Program is an AI-driven software tool designed to support endoscopists by detecting colon polyps and adenomas in real time during standard colonoscopy exams. It processes real-time endoscopic video images from White Light Imaging and Linked Color Imaging to highlight potential lesions, helping clinicians improve diagnosis and patient outcomes without replacing clinical judgment.
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