AIRS Medical provides SwiftMR™, an MRI reconstruction software that utilizes deep learning algorithms to enhance image quality while reducing scan times by up to 50%. This technology addresses the inefficiencies of conventional MRI processes, enabling faster and more accurate diagnostic imaging for healthcare professionals.
Funding
$38.3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Conventional MRI scans are often slow and can produce images with suboptimal quality, leading to inefficiencies in diagnostic imaging workflows and potentially compromising diagnostic accuracy. Long scan times can also cause discomfort and anxiety for patients, sometimes requiring sedation, especially in pediatric or claustrophobic cases.
Solution
AIRS Medical offers SwiftMR™, a deep-learning-based MRI reconstruction software designed to enhance image quality and reduce scan times by up to 50%. SwiftMR™ uses advanced AI algorithms to denoise and sharpen MRI images acquired with accelerated scanning protocols. This enables radiologists to obtain high-quality images in a fraction of the time compared to traditional methods. The software integrates seamlessly into existing MRI workflows, improving diagnostic confidence and patient throughput while minimizing the need for repeat scans due to motion artifacts or poor image quality.
Target Audience
The primary target audience includes radiologists, MRI technicians, and healthcare providers in hospitals, imaging centers, and radiology clinics seeking to improve MRI workflow efficiency and image quality.
Features
- AI-powered image reconstruction using deep convolutional neural networks
- Compatible with various MRI vendors and pulse sequences
- Supports accelerated scanning protocols to reduce scan times by up to 50%
- Improves image quality by reducing noise and enhancing image sharpness
- Seamless integration with existing PACS and radiology information systems (RIS)
- Automated protocol optimization for diverse anatomical regions
- FDA 510(k)-cleared for clinical use in the United States