Angiowave Imaging
About Angiowave Imaging
AngioWave Imaging is a healthcare AI company that develops AngioWaveNet, a post-processing medical AI technology designed to enhance the visualization of vascular structures during angiographic procedures. The company’s platform integrates with existing fluoroscopic angiography systems and utilizes deep-learning-based spatiotemporal enhancement processing (STEP™) to interpret motion, structure, and time-based image data.
This cardiac imaging AI software, which has FDA 510(k) clearance, aims to provide improved clarity imaging, thereby aiding cardiologists in diagnosing coronary artery disease more effectively, facilitating better clinical decision-making, and ultimately improving patient outcomes. AngioWaveNet is indicated for use by qualified physicians to assist in the analysis and interpretation of X-ray coronary angiographic cines, specifically to enhance the visibility of blood vessels, vascular structures, and related anatomical features.
The software is designed for seamless integration into existing Cath lab workflows, automatically processing angiographic cines after acquisition. This allows clinicians to review both original and enhanced versions side-by-side without delaying procedures. Furthermore, AngioWaveNet is compatible with standard DICOM formatted output from any imaging system vendor, making it a versatile tool for cardiac catheterization laboratories.
Focus Areas
Business Intelligence
| Key Investors | DRADS Capital |
| Technology | Deep-learning-based Spatiotemporal Enhancement Processing (STEP™), AngioWaveNet™, angiographic, spatio-temporal, convolutional, deep neural network. DICOM endpoint, cloud-based or on-premise/servers. |
| FDA Clearances | 1 cleared products (estimated) |
What Physicians Need to Know
AngioWave Imaging's technology, AngioWaveNetu2122, stands out for physicians by offering significantly improved visualization of vascular structures, which can lead to enhanced confidence and precision during complex interventions, especially in challenging cases like large patients (BMI > 40) and those with Chronic Total Occlusions (CTO). Unlike conventional filters, its deep-learning-based Spatiotemporal Enhancement Processing (STEPu2122) reveals details often missed in unprocessed angiograms. The seamless, automatic integration into existing cath lab workflows means minimal disruption and no procedural delays, allowing for immediate side-by-side review of original and enhanced images. Furthermore, the system is vendor-agnostic, compatible with standard DICOM output from any major imaging system, ensuring broad applicability without requiring new hardware. With minimal training required, physicians can quickly leverage this AI-powered tool to aid in faster procedural decision-making and potentially improve patient outcomes.
AngioWaveNetu2122 is designed for seamless integration into existing cardiac catheterization laboratory workflows. It is compatible with standard DICOM formatted output (DICOM XA format) from any fluoroscopic angiography system, including those from Philips, Siemens, GE, and Canon. The system can be deployed either cloud-based or on-premise, functioning as a DICOM endpoint for the imaging system. Enhanced images can be sent to a RIS/PACS for display in the cath lab. AngioWave has also implemented extensive cybersecurity and system security testing, operating within secure hospital networks and adhering to HIPAA-compliant standards for image handling, ensuring no patient-identifying data is transmitted outside the facility.
Reviews & Opinions
Videos
News, demos, and interviews about Angiowave Imaging.
Videos load interactively. If none appear, search YouTube for Angiowave Imaging →
Press & Coverage
Frequently Asked Questions
Comparisons
Related Companies
CAIMed, the Lower Saxony Center for Artificial Intelligence and Causal Methods in Medicine, is a research institution dedicated to advancing personalized healthcare through innovative AI and causal methodologies. The center aims to address widespread diseases such as cancer, cardiovascular diseases, and infections by linking research data, clinical data, and patient care data. This integrated approach, […]
Autoderm is a health technology company that provides a CE-marked AI dermatology screening API designed to analyze smartphone photos for various skin conditions. The company’s AI models are trained on a proprietary database of amateur smartphone images of skin diseases and are accessible via an API that can be integrated into various platforms, including electronic […]
OCTA is an AI-powered finance automation platform that aims to streamline financial operations and accelerate cash flow for businesses, particularly SMEs and enterprises in the Middle East, with a strong presence in the UAE and Saudi Arabia. The platform utilizes AI agents to automate tasks across the entire contract-to-cash cycle, including contract creation, e-signing, invoicing, […]
Skin Analytics is a British health technology company dedicated to the early and accurate diagnosis of skin cancer, aiming to reduce mortality from the disease. They achieve this through their flagship product, DERM, an AI-powered medical device. DERM is designed to provide dermatologist-quality skin cancer assessments, making them more accessible and reducing the burden on […]
MedTalk AI is an Australian-based healthcare AI company focused on streamlining clinical documentation for physicians and other healthcare professionals. The company’s flagship product is an ambient AI medical scribe that listens to real clinical conversations and converts them into structured, accurate notes in real-time. This technology aims to free clinicians from the burden of manual […]
allergoSMART is a healthcare AI company that offers the world’s first AI-based complete solution for personalized mite allergen avoidance. The company’s system, allergoSMART, provides a unique AI digital solution for individuals with dust mite allergies, combining targeted prevention and treatment through comprehensive home environment optimization. [3] It integrates symptom tracking, telemedicine, and air purification into […]