BriefCase by Aidoc Medical, Ltd. is an AI-powered software that analyzes frontal chest X-rays to detect and flag cases where an endotracheal tube (ETT) is improperly positioned relative to the carina. It assists hospital networks and trained specialists by prioritizing worklists to enable quicker review of potentially urgent cases. The software operates alongside standard care without altering original images, providing early alerts that help clinicians review and manage patient care more efficiently.
The EFAI ChestSuite XR Pneumothorax Assessment System is an AI-powered software tool that helps clinicians prioritize chest X-ray cases suspected of pneumothorax. It uses deep learning to analyze posteroanterior chest X-rays and provides case-level notifications in the existing PACS/workstation workflow, facilitating faster identification and assessment of patients who may have pneumothorax. It supports clinical decision-making by aiding in triage but is not intended for stand-alone diagnosis.
BriefCase is an artificial intelligence software that automatically analyzes CT chest with contrast scans to detect suspected cases of aortic dissection. It helps hospital networks and medical specialists by flagging possible cases to prioritize workflow and speed up patient triage. It provides notifications with preview images for informational use, aiding clinicians in prompt attention to urgent cases without replacing standard diagnostic procedures.
Aorta-CAD is an AI-powered software tool designed to assist physicians in analyzing chest X-rays. It detects and highlights areas that may show aortic calcification or dilation, which can indicate chronic aortic conditions. This helps radiologists by drawing attention to suspicious regions, improving diagnostic accuracy without replacing physician judgment.
The EFAI ChestSuite XR Pleural Effusion Assessment System is an AI-powered software tool designed to assist radiologists by analyzing adult chest X-ray images (taken in the PA view) to identify features suggestive of pleural effusion. It provides notification through PACS/workstations to help prioritize and triage cases for review, improving workflow efficiency. The software does not highlight specific image areas but offers case-level alerts to support clinical assessment.
The syngo.via RT Image Suite by Siemens is advanced software that helps clinicians visualize and manipulate 3D and 4D medical images from multiple modalities like CT, MRI, PET, and CBCT. It supports contouring tumors and organs at risk, image registration, and creating simple treatment plans, aiding radiation therapy preparation. The software includes AI-based deep learning for lung lobe segmentation to calculate lung ventilation, improving the accuracy and efficiency of radiation therapy planning.
DrAid for Radiology v1 is an AI-based software tool that analyzes adult chest X-rays to identify features indicative of pneumothorax. It helps prioritize cases in the radiology workflow by notifying the system of potentially critical images, assisting clinicians in timely review without providing direct diagnoses or replacing clinical judgment.
BriefCase by Aidoc Medical is an AI-powered software that analyzes CTPA images to detect suspected Pulmonary Embolism cases and notifies clinicians via a desktop application to prioritize these potentially critical cases. It works alongside the standard image interpretation process, helping healthcare professionals triage faster and improve patient care without altering original medical images.
AI-Rad Companion (Pulmonary) is AI-powered software that analyzes chest CT scans to help radiologists and clinicians identify and measure lung structures and lesions. It segments lungs and lung lobes, detects lung nodules, compares current images to prior scans for lesion follow-up, and quantifies pulmonary density. These features support the clinical assessment and monitoring of lung diseases, improving workflow efficiency and diagnostic accuracy.
Rapid PE Triage and Notification (PETN) is an AI-powered software that analyzes CT pulmonary angiography scans to detect and notify clinicians of suspected central pulmonary embolism cases. It assists hospital networks and clinicians by prioritizing patient workflows and flagging positive findings, helping improve timely diagnosis and treatment without altering original medical images.
Join hundreds of your 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.