The startup develops artificial intelligence tools that automate the detection of abnormalities in radiological images and facilitate real-time notifications of anomalies during emergency workflows. This technology enhances diagnostic reliability and reduces operational time for physicians and medical specialists.
Funding
$15.3M 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
Radiologists face increasing workloads and time constraints, leading to potential diagnostic errors and delays in patient care, particularly in emergency situations. Traditional radiology workflows can be inefficient, and the complexity of image interpretation can be challenging, especially for less experienced physicians.
Solution
Milvue offers a suite of AI-powered tools designed to automate abnormality detection in radiological images, enhance diagnostic accuracy, and streamline radiology workflows. The Milvue Suite integrates seamlessly into existing Picture Archiving and Communication Systems (PACS) and Radiology Information Systems (RIS), providing real-time notifications of anomalies and AI-generated reports directly on the radiologist's console. By prioritizing critical cases and automating measurements, Milvue reduces diagnostic errors, decreases patient waiting times, and increases radiologist productivity. The platform supports a range of imaging modalities and anatomical regions, including bone, chest, spine, and breast imaging, catering to both adult and pediatric patients.
Target Audience
The primary target audience includes radiologists, emergency physicians, orthopedic surgeons, and other medical specialists involved in the interpretation of radiological images, as well as hospitals and imaging centers seeking to improve diagnostic accuracy and workflow efficiency.
Features
- AI-powered detection of fractures, dislocations, and other skeletal abnormalities in X-rays
- Automated measurements for orthopedic and spine imaging, compatible with EOS imaging
- AI-based analysis of chest X-rays and CT scans for lung nodules, pneumothorax, and other thoracic conditions
- Dedicated pediatric imaging solution with age-appropriate detection and measurement capabilities
- Integration with RIS/PACS systems for seamless workflow and data exchange
- Automatic insertion of AI results into radiology reports
- AI-powered quality control to detect inconsistencies in reports
- Customizable solution with a modular approach, allowing users to select specific features
- IHE-certified for interoperability, ensuring smooth data exchange between medical devices