The Stethee Pro 1 is an electronic stethoscope designed for medical screening and diagnostic use. It detects and amplifies sounds from the heart, lungs, and other internal organs, and works with the Stethee Pro Software System to record, visualize, analyze, and share these sounds. This helps clinicians better assess patient heart and lung conditions through enhanced audio and data analysis tools.
LVivo Seamless is an AI software application that automatically analyzes echocardiogram ultrasound images to assess cardiac function by calculating parameters like ejection fraction (EF). It helps clinicians by streamlining the evaluation process, sending analyzed results directly to PACS for review, enhancing diagnostic efficiency and accuracy for patients with suspected cardiac disease.
EchoPAC Software Only / EchoPAC Plug-in is a diagnostic ultrasound image analysis software by GE that enables physicians to view, post-process, measure, and analyze ultrasound images across many clinical applications including cardiac, fetal, abdominal, musculoskeletal, and vascular imaging. It incorporates AI-based features to semi-automate cardiac measurements and streamline image interpretation, helping clinicians obtain quantitative data more efficiently and accurately.
The Vivid iq is a high-performance compact diagnostic ultrasound system made by GE Medical Systems Ultrasound. It supports a wide range of clinical applications including cardiovascular, abdominal, fetal, musculoskeletal, and more. The system enables automatic AI-based cardiac measurements and spectrum recognition to assist clinicians in analysis and diagnosis. It is intended for use by trained healthcare professionals in hospitals and private medical offices.
The Vivid T8 and Vivid T9 are advanced ultrasound imaging systems designed primarily for cardiac imaging but also applicable to vascular and general radiology. These systems provide high-quality ultrasound imaging with various transducer options and include AI-based features that assist clinicians by semi-automating measurements and recognizing Doppler spectra. They support multiple clinical applications in hospital and private settings and enhance diagnostic accuracy and efficiency through AI integration.
FractureDetect (FX) is an AI-powered software that analyzes X-ray images of bones to help doctors detect fractures. It highlights areas on radiographs where fractures are detected, improving accuracy and efficiency in diagnosis for various bone regions in adults.
The Vivid E80, Vivid E90, and Vivid E95 are advanced diagnostic ultrasound systems specialized for cardiac imaging but also capable of vascular and general radiology applications. Featuring AI-driven tools for cardiac image analysis, these systems enable clinicians to perform automated measurements and enhanced visualization to improve efficiency and reduce variability. They support various clinical settings including hospitals and private offices with a range of imaging modes and transducers.
The Vivid S60N and Vivid S70N are advanced general-purpose ultrasound imaging systems by GE Healthcare, specialized for cardiac imaging but also supporting a broad range of diagnostic ultrasound applications across the human body. These systems facilitate ultrasound imaging, measurement, display, and analysis to assist physicians in clinical environments such as hospitals and private offices, enhancing diagnostic accuracy and workflow efficiency through digital acquisition, processing, and semi-automated AI-based measurement features.
InferRead Lung CT.AI is software that helps radiologists detect lung nodules in chest CT scans. It uses AI algorithms to identify and mark nodules, providing measurements and characterization to aid diagnosis, specifically targeting an asymptomatic population. The software integrates with existing PACS systems and assists clinicians by enhancing nodule detection sensitivity and reducing interpretation times.
Syngo.CT CaScoring by Siemens is an AI-based software that evaluates non-contrasted cardiac CT images to identify and score calcified coronary lesions. It helps clinicians by automatically marking these lesions, assigning them to specific coronary arteries, and calculating clinically relevant scores such as the Agatston score, facilitating better assessment and documentation of coronary artery disease.
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