The Saranas Early Bird Bleed Monitoring System is a single-use medical device designed to be inserted into the femoral artery or vein during endovascular procedures. It detects and monitors internal bleeding by measuring changes in bioimpedance, providing early indications of potential bleeding complications to physicians. This helps clinicians maintain patient safety by enabling early intervention during or after vascular interventions.
The Ceribell Status Epilepticus Monitor is a software medical device that analyzes EEG data captured from a headband device to automatically detect electrographic status epilepticus in patients at risk of seizures. It provides timely diagnostic support to clinicians in acute care environments, enabling faster treatment decisions for this critical neurological condition.
The GI Genius System 100 and 200 are AI-powered computer-assisted detection tools used during colonoscopy to help doctors identify colonic lesions such as polyps and adenomas in real time. It integrates with standard white-light endoscopy video systems and highlights suspicious areas to support clinicians without replacing clinical judgment.
ENT EM is a surgical navigation system designed to assist surgeons during ear, nose, and throat procedures by providing real-time guidance using electromagnetic tracking. It integrates with patient imaging data from multiple modalities to accurately localize instruments and anatomical structures, improving surgical precision and safety. The device includes an AI/ML-based algorithm to aid in the registration step by automatically detecting anatomical landmarks, streamlining the planning and navigation process.
Ceevra Reveal 3 is a software medical device designed for processing, reviewing, and analyzing 3D images created from CT and MR scans. It helps clinicians with preoperative surgical planning and intraoperative image display, including interacting with 3D visualizations using mobile or desktop viewers, and even VR headsets. By using AI-driven algorithms, it generates preliminary segmentations of normal anatomical structures to assist healthcare professionals in their clinical decisions for adult patients.
ART-Plan is a medical imaging software that helps clinicians visualize, contour, and process 3D multi-modal images like CT, MR, and PET-CT for cancer patients undergoing radiotherapy. The software uses AI to automatically delineate organs at risk and lymph nodes to assist in treatment planning, saving time and improving precision. It also supports image registration and generation of synthetic CT images from MRI.
Brainlab Elements Trajectory Planning (2.6) is a software designed to help neurosurgeons plan the best paths for surgical instruments during cranial procedures, such as electrode placements or biopsies. It uses anatomical images from scans to plan and guide minimally invasive or open surgeries, enhancing precision and improving patient outcomes.
The SKOUT system is an AI-powered software tool that helps gastroenterologists detect potential colorectal polyps in real time during colonoscopy procedures. By providing visual markers on the colonoscopy video feed, it aids trained specialists in identifying polyps that might be missed, supporting better colorectal cancer screening and surveillance.
RayStation 12A by RaySearch Laboratories is a comprehensive radiation therapy treatment planning system that allows users to import patient images, define treatment targets, optimize and evaluate radiation treatment plans, and administer them. It supports multiple imaging modalities including CT, PET, and MR, enhancing precision in oncologic care by helping clinicians design effective and tailored radiation treatments while ensuring safety and accuracy.
NeuroRPM is a software application for the Apple Watch that uses machine learning to analyze motion sensor data to quantify motor symptoms like tremor, bradykinesia, and dyskinesia in adult Parkinson's disease patients. It helps clinicians remotely monitor symptom presence every 15 minutes, supporting both clinic and home use for improved patient management.
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