AFX Medical develops AI-assisted software for the automated detection and tracking of brain metastases in T1-weighted MRI images, enhancing the accuracy of cancer diagnosis and treatment. This technology addresses the issue of missed brain tumors due to human cognitive limitations, facilitating timely and precise patient care.
Funding
$148.5K 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.
CFounders
Product
Problem
Radiologists and radiation oncologists face challenges in accurately detecting and tracking brain metastases on T1-weighted MRI images due to the limitations of human cognition, which can lead to missed tumors and delayed cancer treatment. Reviewing the large number of images required for each MRI session further compounds this issue.
Solution
AFX Medical offers AI-assisted software designed to automate the detection and tracking of brain metastases in T1-weighted MRI images, enhancing the precision and efficiency of cancer diagnosis and treatment. The software integrates directly into existing PACS infrastructure and suggests the location of potential brain metastases on contrasted T1 brain MRI images. It automatically derives the largest bidirectional diameters from the generated segmentation and lists individual findings along with their size for easy navigation. Once approved, each finding is assigned a unique lesion label, persistent across studies, enabling longitudinal tracking and facilitating the estimation of clinical endpoints.
Target Audience
The primary users are radiologists and radiation oncologists seeking to improve the speed and accuracy of brain metastases detection and tracking.
Features
- Automated detection of potential brain metastases on contrasted T1 brain MRI images
- Automatic derivation of largest bidirectional diameters from generated segmentation
- Individual findings listed with size for easy navigation
- Unique lesion labeling, persistent across studies, for longitudinal tracking
- Comprehensive PDF report summarizing longitudinal data, including tables and graphical displays of lesion size progression
- Seamless integration with existing PACS infrastructure