PeriCALM Patterns 3.0 is an AI-based software tool designed to assist clinicians in monitoring fetal well-being during pregnancy and labor. It analyzes fetal heart rate and uterine contraction signals, automatically identifying patterns such as accelerations, decelerations, baseline heart rate, and contractions. This information supports clinical decision-making for pregnant patients at or beyond 32 weeks of gestation by providing annotated summaries of the fetal monitor recordings.
ScreenDx is an AI-powered software device that analyzes lung CT scans to identify patterns suggestive of interstitial lung disease. It provides clinicians with a qualitative output to help refer patients who may benefit from further assessment of lung fibrosis, supplementing standard care workflows but not replacing diagnostic methods.
The Dental Cone-beam Computed Tomography (FinScan F350) is an imaging system designed for dental and maxillofacial diagnostic support. It uses cone-beam CT technology along with panoramic and cephalometric X-ray imaging to produce detailed images of the dento-maxillofacial and TMJ structures, aiding dentists and health professionals in diagnosis, including assessment of growth and maturity for orthodontic treatment.
FullFocus is a web-based software that enables pathologists to view, navigate, and manage digital images of scanned surgical pathology slides prepared from FFPE tissue. It helps pathologists review images for primary diagnosis by providing tools like zooming, panning, measurement, and annotation, improving diagnostic workflow and accuracy.
The Vantage Galan 3T, MRT-3020, V10.0 with AiCE Reconstruction Processing Unit for MR is a 3 Tesla MRI system designed to produce detailed cross-sectional images of the head or body. It incorporates AI-based deep learning technology, called the Precise IQ Engine (PIQE), which enhances image resolution, reduces artifacts, and maintains or improves image quality. This helps clinicians obtain clearer and more precise images for diagnosis without additional scan time or parameters adjustment.
The uCT 780 is a computed tomography (CT) system designed to produce cross-sectional images of the body including head, neck, chest, cardiac and vascular regions. It offers advanced AI-driven image reconstruction to improve image quality and reduce radiation dose, supporting lung cancer screening and various diagnostic tasks. This helps clinicians obtain clearer images for diagnosis while lowering radiation exposure for patients.
The GXR-Series Diagnostic X-Ray System by DRGEM Corporation is a stationary X-ray system designed for medical professionals to capture human anatomical images using X-rays. The system includes various device models with features like automatic calibration, digital flat panel detectors for direct radiography, and advanced image processing software to enhance image quality and workflow efficiency. It helps clinicians by providing high-quality radiographic images for diagnostic purposes while optimizing exposure settings and reducing downtime through remote system diagnosis.
ApolloHipX is a software system designed to aid surgeons during Total Hip Replacement by precisely measuring the position and alignment of hip replacement components using radiological images. It integrates pre-operative 3D patient data with intra-operative 2D X-ray images to provide near-real-time assistive measurements, helping ensure the implants are correctly positioned relative to the patient's bone structures.
Brainomix 360 e-CTA is a software system used by trained medical professionals to analyze CT Angiography images of the brain. It processes these images to provide visualizations and quantitative measurements, such as vessel density asymmetry, specifically in the middle cerebral artery region. This helps clinicians assess cerebral blood vessel conditions and supports clinical decision-making for stroke and related conditions. The software uses AI/ML algorithms to improve vessel detection and image quality, and integrates with standard hospital imaging systems for ease of use.
The TMINI Miniature Robotic System is a robotic-assisted surgical device designed to help surgeons accurately plan and execute total knee replacement surgeries. It uses preoperative CT scans to create 3D bone models, allowing precise implant positioning through software planning and robotic guidance. The system enhances surgical accuracy and efficiency by using AI-enhanced image segmentation, intraoperative tracking, and spatial boundary definition during surgery.
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