Summary: Limbus Contour offers automated contouring for radiation therapy, significantly reducing the time required for manual contouring of organs at risk (OARs) and clinical target volumes (CTVs). The software operates entirely on local workstations, eliminating the need for cloud transfers and ensuring patient data remains secure. With its extensive library of clinically validated anatomical structures, Limbus Contour integrates seamlessly into existing treatment planning systems, supporting a wide range of platforms without the need for specialized hardware.

Summary: DLCExpert automates the delineation and contouring of organs at risk (OARs) in radiation oncology, leveraging deep learning technology to enhance accuracy and consistency. This tool integrates into existing clinical workflows, offering a library of structures for various cancer types including head and neck, thorax, breast, and prostate. It aims to save time on manual contouring tasks, allowing clinicians to focus on complex cases and improve patient outcomes.

Summary: The GBS™ Suite by MVision AI encompasses Contour+, Verify, and Guide, three integrated tools designed to enhance radiotherapy planning and execution. Contour+ automates the delineation of organs-at-risk and lymph node areas, Verify provides a platform for contour assessment, and Guide offers a training environment for guideline adherence and contouring proficiency. This suite streamlines the treatment planning process, ensuring high-quality, guideline-compliant contours and improving efficiency in radiotherapy workflows.

Summary: WRDensity leverages artificial intelligence to provide a more consistent assessment of breast density during mammography screenings. It is designed to integrate seamlessly with RIS/PACS systems and has been trained on over 600,000 images from the Mallinckrodt Institute of Radiology. This tool aims to create uniformity in density assessment at the practice level, improving the accuracy of breast cancer screenings.

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: TeraRecon provides an advanced visualization and artificial intelligence (AI) platform designed to enhance medical imaging workflows. The platform integrates with existing systems to offer AI-driven insights and decision support across various specialties including radiology, cardiology, and neurology. It aims to improve patient care by accelerating time-to-treatment and enhancing diagnostic accuracy through the use of cutting-edge AI technologies.

Summary: Koios DS™ leverages artificial intelligence and machine learning to provide clinical decision support for the diagnosis of breast and thyroid cancer through ultrasound imaging. This software aims to improve diagnostic accuracy and efficiency, potentially leading to earlier detection and treatment. With FDA clearance and CE marking, Koios DS™ integrates into clinical workflows, offering a billable procedure that enhances both survival rates and workflow efficiency.

Summary: MAUI Imaging introduces an advanced ultrasound solution capable of imaging through obstacles such as bone, air, and metal, specifically designed for the brain. This FDA-cleared technology aims to revolutionize medical imaging by providing clear, real-time visuals for diagnosing and monitoring traumatic injuries, especially in environments where traditional imaging tools like CT scans are unavailable.

Summary: UltraSight offers AI-driven software that provides real-time guidance and quality assessment for healthcare professionals performing cardiac ultrasound. Designed to assist users regardless of their sonography proficiency, the tool enables the consistent performance of high-quality cardiac ultrasound across various settings, including clinics, community hospitals, and remote areas. This innovation aims to improve the accessibility, ease, and quality of cardiac imaging and diagnosis, facilitating more accurate and timely clinical decisions.

Summary: Hermia by Hermes Medical Solutions is a comprehensive, vendor-neutral software suite designed for nuclear medicine and molecular imaging. It integrates with all equipment and staff within a medical facility, aiming to optimize the potential of nuclear medicine departments. The software supports a wide range of clinical specialties, including advanced dosimetry tools, and offers scalability to meet future clinical needs.

Summary: DEEPVESSEL FFR utilizes AI to perform non-invasive CT fractional flow reserve analysis, providing a physiological functional assessment of coronary arteries from coronary CT angiograms. This tool aims to minimize the need for invasive testing, enhance patient safety, and reduce the costs associated with cardiovascular care. It integrates seamlessly into clinical workflows, offering precise and comprehensive analysis to support decision-making in the management of coronary artery disease.

Summary: Ultrarad AI provides a suite of AI-powered diagnostic tools designed to improve the accuracy and efficiency of radiology interpretations. The platform includes features like Doppler Interpretations, Calculators, and TAARA, an intelligent radiology assistant, which together support a wide range of radiological examinations and workflows. These tools aim to save time for radiologists and improve patient outcomes by enabling more precise and faster diagnoses.

Summary: STAGE is a platform designed to improve the quality of MRI images, specifically focusing on brain scans. It enables MRI machines to produce clearer images and gather quantitative data without requiring additional scan time. In fact, STAGE can reduce MRI brain protocol times by up to 30%, increasing daily scan capacity and providing more detailed images for better diagnostic and treatment decisions.

Summary: QVCAD is an advanced AI software tool developed by QView Medical, Inc., specifically designed to improve the detection of breast cancer in women with dense breast tissue through the analysis of 3D Automated Breast Ultrasound (ABUS) images. It serves as a computer-aided detection (CAD) system that assists radiologists by highlighting areas of concern in ultrasound images, thereby facilitating a more efficient and accurate review process.

Summary: Annalise Critical Care AI is designed to help clinicians prioritize patients with time-sensitive findings by flagging studies that contain any of 11 critical conditions. This enables the reordering of worklists to review the most urgent cases first, facilitating rapid triage and decision support. It is particularly useful in emergency and trauma care, as well as in situations of low or no coverage, such as nights and weekends.

Summary: RadOS by Sirona Medical is an AI-powered, cloud-native platform that aims to streamline radiology workflows by providing seamless access to a suite of radiology software tools. It integrates diagnostic viewers, reporting tools, universal worklists, PACS/Archive systems, and AI augmentation into a single, accessible URL. This platform is designed to improve efficiency, enable remote access, and support the scalability of radiology practices without the need for expensive hardware upgrades.

Summary: Virtual Nodule Clinic (VNC) by Optellum is designed to enhance the early diagnosis of lung cancer by discovering, tracking, and assessing the risk of malignancy in lung nodule patients. It integrates seamlessly with existing EHR and PACS systems, utilizing the FDA-cleared and UKCA / CE-marked Optellum Lung Cancer Prediction (LCP) AI. This technology enables healthcare providers to automatically prioritize lung nodule patients, potentially finding more lung cancer cases earlier and reducing time to diagnosis.

Summary: IB Lab ZOO is an AI-supported modular software platform designed for the automated, objective, and standardized analysis of musculoskeletal (MSK) medical images. It offers a suite of tools for diagnosing and managing various MSK conditions by extracting key disease parameters from medical images, thereby aiding in the prevention and treatment of these conditions.

Summary: Volpara Health's software suite offers a range of tools designed to enhance breast cancer screening and early detection. It includes features for personalized patient reporting, risk assessment, compliance management, and imaging quality analytics. By integrating AI and data analytics, the platform aims to improve mammogram quality, streamline workflow for healthcare providers, and support personalized detection strategies.

Summary: CureMetrix develops artificial intelligence (AI) based tools aimed at enhancing the accuracy and efficiency of disease detection in radiology, with a strong focus on women's health. Their suite of products includes solutions for mammography analysis, aiming to reduce false positives, increase early detection rates, and improve the evaluation of dense breast tissue. These tools are designed to support radiologists by prioritizing worklists and improving clinical outcomes while reducing healthcare costs.