ART-Plan (v.2.2.0) is a medical software platform designed to help clinicians involved in radiotherapy for cancer patients. It allows users to contour regions of interest on 3D images, perform image registration and fusion from multiple imaging modalities (CT, MRI, CBCT), generate synthetic CT images using deep learning, and support decision-making for treatment replanning. This assists medical professionals in precisely targeting radiation therapy and adapting treatment based on daily patient imaging data, improving safety and treatment efficacy for cancer patients aged 18 and above.
The SKOUT system is a computer-aided detection software designed to assist gastroenterologists during colonoscopy by identifying potential colorectal polyps in real time. It highlights suspected polyps on endoscopic video to aid in colorectal cancer screening or surveillance, supporting clinicians in making more accurate evaluations.
VisAble.IO is a software tool that helps physicians plan and evaluate liver ablation treatments by processing CT and MRI images. It assists in identifying treatment targets, planning needle placement virtually, and confirming the treatment area post-procedure to improve procedure accuracy and patient outcomes.
The CorVista System with PH Add-On is a non-invasive AI-based medical device that analyzes sensor-acquired cardiac electrical and hemodynamic signals to indicate the likelihood of elevated pulmonary arterial pressure, aiding clinicians in diagnosing pulmonary hypertension. It provides results through a user-friendly digital interface and supports healthcare providers by combining the AI output with clinical judgment.
AI-Rad Companion Organs RT is an AI-powered medical imaging software designed to automatically segment organs from CT and MR scans to assist radiation therapy treatment planning. It uses deep learning algorithms to produce contours of organs-at-risk, which clinicians can review and edit before using them in treatment planning systems. This software saves time and improves the accuracy of radiation therapy preparation by providing automated organ delineation, intended for use by trained medical professionals.
Eko Low Ejection Fraction Tool (ELEFT) is an AI-based software device that analyzes ECG and heart sound recordings to help clinicians identify patients with reduced left ventricular ejection fraction (LVEF ≤ 40%), a marker of potential heart failure. It is intended for use on adults at risk of heart failure and supports referral decisions for further testing like echocardiography, without replacing diagnostic procedures.
SleepStageML is a software-only medical device that uses AI to automatically analyze EEG signals from sleep studies (PSG recordings) to identify different sleep stages. It assists qualified clinicians in diagnosing sleep quality and sleep disorders in adult patients by providing automated, software-generated sleep stage annotations that clinicians can review and verify.
The Genius Digital Diagnostics System with the Genius Cervical AI algorithm is an AI-powered digital imaging system designed to scan, analyze, and help interpret ThinPrep Pap test slides for cervical cancer screening. It identifies clinically relevant cellular objects and presents them in an easy-to-review format for cytologists and pathologists, improving diagnostic sensitivity while assisting in patient management.
Rapid (6.0) by iSchemaView, Inc. is a medical imaging software designed to process and analyze dynamic and functional imaging data from CT and MRI scans. It aids clinicians by providing advanced visualization, quantification, and analysis tools to help select acute stroke patients for treatment, enhancing diagnostic confidence and workflow efficiency.
The GI Genius system by Cosmo Artificial Intelligence is an AI-powered tool that helps doctors detect colonic mucosal lesions, such as polyps and adenomas, in real time during routine white-light endoscopy exams. It enhances lesion detection by analyzing live endoscopy video and highlighting areas of interest on the gastrointestinal tract on the display, supporting clinicians in making accurate diagnoses during colonoscopy procedures.
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