Summary: red dot® is an AI-powered diagnostic platform designed to enhance the accuracy and speed of diagnosing critical conditions through CT and X-ray imaging. It automatically identifies normal scans and prioritizes potential cases of lung cancer and acute findings in CT head exams for faster clinical decision-making. With a track record of analyzing over 32,000 patients without missing a single lung cancer case over three years, red dot® has demonstrated significant clinical validation and is approved by both the FDA and CE.

Summary: The IB Clinic Neuro-Oncology Application Suite offers a comprehensive set of tools for the analysis of physiological imaging in neuro-oncology. It includes applications for perfusion MRI and CT analysis, MR image registration, and subtraction for enhanced comparison of images. This suite is designed to support diagnosis, pre-surgical planning, treatment response monitoring, and follow-up, providing clinicians and researchers with reliable and proven tools for advanced MRI analysis.

Summary: RADLogics' AI platform automates the analysis of DICOM data from CT and X-ray scans, providing automatic detection, measurements, and key images. The platform is designed to integrate seamlessly into existing workflows, enhancing radiologists' productivity and patient outcomes. It includes FDA-cleared applications, supporting a rapid and accurate diagnosis process.

Summary: QP-Insights® is a comprehensive solution designed to streamline the handling, indexing, storage, and harmonization of imaging data. It generates standardized image quality across different equipment manufacturers and integrates imaging data with EHR information and other multi-omics techniques. This platform supports the discovery of new imaging biomarkers and the development of AI models for clinical research, offering a unified approach to managing and analyzing large-scale medical imaging data.

Summary: Heuron offers AI-driven diagnostic aids for central nervous system disorders, including Parkinson's disease, Alzheimer's disease, stroke, and brain metastasis. Utilizing advanced AI models that incorporate clinical specialists' diagnostic insights, Heuron's software aims to simplify complex diagnostic challenges. The tools provide features such as identification of nigrostriatal degeneration, volumetric analysis, and early detection of brain diseases through MRI and CT scans.

Summary: Brainomix 360 Stroke is a comprehensive platform that utilizes AI to automate the analysis of imaging for stroke diagnosis and treatment decisions. It supports healthcare providers with tools for both simple and advanced imaging needs, aiming to enhance clinical decision-making and improve patient outcomes. The platform is designed to integrate seamlessly into existing workflows, providing real-time insights that can expedite patient care.

Summary: NeuroQuant is a software tool designed for the automated segmentation and volumetric analysis of brain images. It aids clinicians in the diagnosis and monitoring of neurological conditions by providing quantitative data on brain structures. This tool is integrated into clinical workflows to enhance the accuracy and efficiency of brain assessments, supporting earlier diagnosis and treatment planning.

Summary: ClearRead CT leverages deep learning AI technology to provide radiologists with an unobstructed view of the chest, enhancing the detection and measurement of nodules and quantification of coronary artery calcification (CAC). Designed for efficiency and accuracy, it integrates with radiology reports, comparing findings with prior exams and detecting 29% more nodules while reading 36% faster.

Summary: contextflow ADVANCE Chest CT is designed to assist radiologists by providing computer-aided detection support for lung cancer, ILD, and COPD within chest CT scans. It integrates directly into PACS systems, offering features such as nodule detection and quantification, nodule tracking over time, and quantitative lung tissue analysis. This tool aims to save time and improve the quality of reporting by providing qualitative analysis of image patterns and facilitating differential diagnosis.

Summary: Avicenna.AI offers a suite of AI-powered tools designed to enhance emergency radiology by automating the detection of critical conditions such as intracranial hemorrhages, pulmonary embolisms, and aortic dissections on CT scans. These tools integrate into existing radiological workflows to prioritize urgent cases, thereby improving diagnosis speed and accuracy while allowing radiologists to focus on high-priority cases.