Quibim
Using AI imaging-biomarker technology to precisely analyze MRI and CT medical images.
What is it: a smart decoder of medical imaging
Quibim is an AI platform built for medical-image analysis that standardizes and automates the complex radiomics analysis process. Through deep learning, Quibim can precisely extract hard-to-see-with-the-naked-eye biomarker information from MRI (magnetic resonance imaging) and CT (computed tomography) images. The platform is CE-certified and has developed dedicated analysis apps for key areas like the prostate, brain, liver, and breast, elevating traditional image diagnosis to a new level of quantitative analysis.
What problem it solves and who it's for
In clinical diagnosis, radiologists often spend a lot of time interpreting images, and the results are easily affected by subjective experience. Quibim's core value is providing objective data support through "imaging biomarkers," helping physicians more precisely assess lesion features and thereby optimize treatment decisions.
This solution is especially suited to large medical institutions, radiologists, and medical researchers. For the clinical side, it can shorten the diagnostic process and improve interpretation quality, reducing human error; for the research side, it can quickly process vast image databases and help develop more precise prognostic-assessment models. Quibim is not only a powerful assistant for physicians but an important tool for driving precision medicine and digital transformation, moving medical decisions from "experience-based judgment" to "data-driven" and providing patients more personalized medical plans.
Key Features
- Automated radiomics analysis
- CE-certified clinical apps
- Prostate and brain image analysis
- Liver and breast lesion assessment
- Structured image-report generation
Pros
- High clinical-diagnosis precision
- Complies with EU medical-device regulations
- Supports analysis of multiple organ images
Cons
- Requires integration into the existing PACS system
- A higher operating barrier for medical professionals
Use Cases
- Early prostate-cancer screening
- Neurological-lesion tracking
- Liver and breast tumor quantitative analysis
Editor's Note
Quantifying radiomics features through AI effectively improves the objectivity and efficiency of medical-image interpretation.
FAQ
Can Quibim's analysis results be used directly for clinical diagnosis?
The data the platform provides can serve as an assisted-diagnosis tool for radiologists, but the final diagnosis still needs a professional physician combining clinical information to judge.
Which types of medical-image formats does the platform support?
Quibim mainly processes MRI and CT images and supports the standard DICOM format to ensure compatibility with hospital imaging systems.
Does this product have medical-device certification?
Yes — several of Quibim's apps have CE-mark certification, meeting EU medical-device safety and performance requirements.
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