AVIEW LCS by Coreline Soft Co., Ltd. is a diagnostic software tool that reviews, analyzes, and reports on thoracic CT images to help clinicians characterize lung nodules. It automatically measures nodule size, volume, density, and growth over time, integrates with FDA-cleared CAD for nodule detection, and provides lung cancer risk scoring and standardized Lung-RADS categorization. This helps clinicians detect, monitor, and manage lung nodules more accurately and efficiently.
NinesAI is a software tool that uses artificial intelligence to automatically analyze head CT images for signs of intracranial hemorrhage and mass effect. It helps prioritize critical cases by notifying radiologists of potential emergencies to assist in timely and effective patient care. The software works alongside standard workflows and does not replace full clinical evaluation or diagnosis.
CuraRad-ICH is an AI-powered software that helps radiologists quickly identify and prioritize head CT scans that may show acute intracranial hemorrhage (bleeding in the brain). By automatically analyzing CT images, it assists in faster diagnosis and treatment decisions to improve patient outcomes.
Arterys MICA is a medical diagnostic software that processes and analyzes medical imaging data, primarily MR and CT scans. It includes AI modules that assist clinicians in quantifying heart function and detecting, evaluating, and tracking lesions for oncology purposes. The software supports trained healthcare professionals by providing quantitative data and visualization tools to aid diagnosis and treatment follow-up.
MammoScreen is an AI-based software that assists physicians in interpreting full-field digital mammograms (FFDM) by identifying suspicious breast lesions such as soft tissue lesions and calcifications. It provides marks on the mammogram images alongside a suspicion score to help detect potential breast cancer, supporting radiologists during their reading process to improve cancer detection without replacing clinical judgment.
Viz ICH is an AI-based software tool designed to analyze non-contrast CT scans of the brain for signs of intracranial hemorrhage (ICH). When the software detects suspected ICH, it sends notifications to neurovascular or neurosurgical specialists, helping speed up patient care by alerting clinicians early. The system includes a backend server for image processing and a mobile app for reviewing images in a non-diagnostic way for quick assessment and communication.
syngo.CT Lung CAD is an AI-powered software tool that helps radiologists detect solid pulmonary nodules in chest CT scans. Acting as a second reader, it alerts clinicians to potential nodules that might have been overlooked during their initial review, thereby improving diagnostic accuracy and patient care.
Transpara is an AI-powered software designed to assist physicians in interpreting full-field digital mammography and digital breast tomosynthesis exams. It highlights suspicious regions that may indicate breast cancer, providing scores that indicate the likelihood of malignancy. This helps radiologists improve detection accuracy and workflow efficiency while supporting clinical decisions during breast cancer screening.
The Study Watch with Irregular Pulse Monitor is a wearable device that records, stores, and transmits single-channel ECG rhythms to help detect irregular pulses such as atrial fibrillation in adults. It uses proprietary electrodes and PPG sensors to collect physiological data, which can be reviewed by healthcare professionals via a web portal to support diagnosis and patient monitoring.
Auto Positioning is a feature for GE CT systems that streamlines and automates patient positioning for CT exams by using a 2D/3D video camera and AI (deep learning) to determine anatomical landmarks, patient orientation, and optimal table position. This helps technologists position patients accurately and safely, improving image quality and workflow efficiency.
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.