Caption Health
Our AI technology enables healthcare providers to perform high-quality ultrasound exams wherever and whenever patients need them, regardless of their familiarity with ultrasound. Ultrasound is a safe, highly effective diagnostic tool, but it can be difficult to master, takes years of specialized training to learn, and image quality can vary. Performing the exam involves unnatural hand-eye coordination and unintuitive visuals. Traditional ultrasound software doesn’t provide instruction on how to move the ultrasound transducer to capture an image, or any real-time feedback on the quality of images being captured. Poor quality images lead to missed opportunities, misdiagnosis, repeat studies, and inconsistent interpretation. As a result, the true value and benefits of ultrasound have not been fully realized. Now, with our technology, any healthcare professional can capture diagnostic-quality ultrasound images thanks to AI guiding them through every step of the scanning process.
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Intelligent Ultrasound
At Intelligent Ultrasound it’s our vision to make clinical diagnostic ultrasound easier to learn and simpler to use. Our classroom-to-clinic approach reflects our belief that by supporting, guiding, and speeding up scanning, we can make ultrasound more accessible to all medical professionals. Focussed on providing real-time ultrasound education and training through high-fidelity simulation. Hi-fidelity ultrasound simulators for OBGYN and general ultrasound. Our deep-learning-based algorithms improve real-time ultrasound image analysis and make ultrasound machines smarter and more accessible to all medical professionals. Improve confidence and competence with real-time AI assistance for regional anesthesia and analgesia. AI-based real-time image analysis software is incorporated into GE Healthcare’s VolusonTM SWIFT ultrasound machines to support sonographers during OBGYN scans.
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Scanbooster
Transform your smartphone into a virtual ultrasound probe to control the Scanbooster ultrasound simulator on your tablet. Several large studies with hundreds of medical students at internationally renowned universities have proven Scanbooster's great learning effect and high satisfaction. To make learning sonography accessible to anyone, anywhere, anytime, without the need to have a high-end ultrasound device, a professor, or a patient around. Our Scanbooster case library is expanded regularly and features over 150 individual real-patient cases from different medical specialties. Choose from internal medicine ultrasound, point of care ultrasound (POCUS), gynecological ultrasound, prenatal and obstetrical ultrasound, urological ultrasound, and radiological ultrasound. Scanbooster uses real patient data to simulate the sonographic examination. Ultrasound has never been more immersive on a mobile device.
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Nemotron 3 Ultra
Nemotron 3 Nano is a compact, open large language model in NVIDIA’s Nemotron 3 family, designed for efficient agentic reasoning, conversational AI, and coding tasks. It uses a hybrid Mixture-of-Experts Mamba-Transformer architecture that activates only a small subset of parameters per token, enabling low-latency inference while maintaining strong accuracy and reasoning performance. It has approximately 31.6 billion total parameters with around 3.2 billion active (3.6 billion including embeddings), allowing it to achieve higher accuracy than previous Nemotron 2 Nano while using less computation per forward pass. Nemotron 3 Nano supports long-context processing of up to one million tokens, enabling it to handle large documents, multi-step workflows, and extended reasoning chains in a single pass. It is designed for high-throughput, real-time execution, excelling in multi-turn conversations, tool calling, and agent-based workflows where tasks require planning, reasoning, and more.
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