The startup develops imaging software that utilizes artificial intelligence to enhance measurement accuracy and reporting efficiency for radiologists. By providing data-driven findings and graphical reports, the software improves patient care and supports advanced research initiatives.
Funding
$3.2M 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 challenges in efficiently and accurately evaluating cancer patients due to time-consuming manual processes and the complexity of advanced imaging analysis. This can lead to increased read times, potential for errors, and radiologist burnout.
Solution
AI Metrics provides AI-enabled radiology software designed to streamline cancer patient evaluation and improve the efficiency and accuracy of cancer reads. The software leverages augmented intelligence to automate tumor identification, measurement, and anatomic labeling, reducing the effort required to complete complex cancer reads. AI Metrics offers guided workflows based on best practices, which can improve accuracy and consistency. The system also automatically generates clear, visualized reports, enhancing communication between radiologists, oncologists, and patients.
Target Audience
The primary target audience includes radiologists specializing in oncology, radiology groups, and hospitals seeking to improve the efficiency and accuracy of cancer imaging analysis and reporting.
Features
- AI-guided workflows for rapid review of prior and preliminary CT or MRI scans
- Automated tumor measurement, labeling, and change calculation
- Automatic tracking of incidental findings with follow-up assessments
- Real-time generation of patient reports with graphs, tables, and embedded images
- Secure cloud-based installation with seamless integration into existing radiology workflows (PACS, RIS, EMR)
- Compatibility with Active Directory credentials for easy login
- Interoperability with existing PACS viewers