InVision Precision LVEF is a software tool that analyzes previously acquired transthoracic cardiac ultrasound images to automatically estimate the left ventricular ejection fraction, helping clinicians with cardiac evaluation. The software processes DICOM ultrasound videos, uses machine learning to segment the left ventricle, and allows clinicians to review and adjust the measurements for precise cardiac function assessment.
The EPIQ and Affiniti Series Diagnostic Ultrasound Systems by Philips Ultrasound LLC are advanced ultrasound imaging devices that include innovative AI-powered software features. The Smart View Select software automatically selects optimal heart images for analysis, while the Segmental Wall Motion software evaluates the movement of specific regions of the heart's left ventricle. These tools help clinicians perform more efficient and precise cardiac assessments, enhancing diagnosis and treatment planning.
Rapid by iSchemaView Inc. is a medical image processing software designed to help clinicians analyze CT and MRI images, including functional and dynamic datasets like CT Perfusion and diffusion-weighted MRI. It facilitates quick visualization, quantification, and interpretation of brain tissue changes often seen in acute stroke, helping physicians select patients for endovascular thrombectomy and assess cerebral hemodynamics. The software supports both standard and C-arm CT images and assists in managing complex imaging data efficiently, enhancing clinical workflow and patient care in neurological emergencies.
Us2.v2 is software that processes cardiac ultrasound images to automatically measure various heart structures and functions, helping clinicians analyze echocardiograms more efficiently and accurately. It supports qualified healthcare professionals by providing automated measurements of cardiac size and function, improving workflow and aiding diagnosis in adult patients.
AVIEW CAC is a software that analyzes non-contrast chest CT scans to quantify calcified plaques in coronary arteries, calculate the Agatston score, and provide risk stratification based on calcium scoring, age, and gender. It helps radiologists and cardiologists by supporting image storage, transfer, and display, facilitating clinical decision-making for coronary artery disease risk assessment.
The Voluson Signature 20 and Voluson Signature 18 are advanced diagnostic ultrasound systems designed primarily for general radiology and specialized OB/GYN use. They provide high-performance ultrasound imaging, including real-time 3D/4D acquisition and various Doppler imaging modes, to help clinicians visualize and analyze the human body and fluids. These systems support multiple clinical applications such as fetal imaging, abdominal, cardiac, vascular, musculoskeletal, and more, aiding in diagnosis and patient care in hospital or clinical settings.
Overjet Caries Assist-Pediatric is an AI-powered software designed to assist dentists by automatically detecting and outlining dental caries in bitewing and periapical radiographs of pediatric patients aged 4-11. It provides additional visual cues to support clinical diagnosis but is not a replacement for the dentist's comprehensive review and judgment.
CT Cardiomegaly is a command-line software tool designed to automatically measure the cardiothoracic ratio from CT chest images. It uses machine learning algorithms to segment the heart and thoracic cavity and calculate both linear and area-based cardiothoracic ratios. This assists physicians in identifying cardiomegaly, providing quantitative measurements to support clinical decisions within healthcare settings.
Overjet Charting Assist is an AI-powered medical image processing system that helps dental professionals detect and identify dental structures such as teeth anatomy and past restorative treatments on various dental radiographs. It assists in creating dental charts more efficiently by analyzing bitewing, periapical, and panoramic images, helping reduce manual charting efforts by over 80%.
CEPHX is a software tool designed for orthodontists that uses AI to analyze cephalometric x-ray images. It automatically identifies important anatomical landmarks on 2D x-rays, aiding in diagnosis, treatment planning, and patient consultation for individuals over 14 years old. This helps clinicians effectively monitor and simulate orthodontic treatment progress.
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