Using AI for blood cell analysis and hematology
Detect, count, and classify individual blood cells with Artificial Intelligence
Every day, millions of single blood cells are evaluated for disease diagnostics in medical laboratories and clinics. This repetitive task is still often done manually, by trained biologists who inspect blood samples from microscopes, one after another.
How does the Kantify AI blood analysis technology help?
Blood laboratory tests are used to confirm, exclude, classify, or monitor diseases and ultimately guide treatments, by analyzing and counting the different types of blood cells.
The Kantify AI blood analysis technology can speed up and automate blood analysis, allowing laboratories to provide immediate and accurate feedback to clinicians.
Our Kantify AI blood analysis technology can automatically identify and count the different types of blood cells using computer vision algorithms. Moreover, our algorithm has learned to recognize which cells are normal or abnormal, opening the door for early detection of a particular blood disease.
Kantify’s technology for blood cell analysis
Kantify has developed an AI solution that can help with the analysis of blood samples. By analyzing microscopic blood smear images of patients, our AI solution can:
- Detect, count, and classify different red and white blood cells, in real time.
- Detect if there are any malformed blood cells, and if yes, determine the type of the abnormality.
- Generate a real time report.
This optical microscopy analysis solution relies on an artificial neural network.
Example: Acute Lymphoblastic Leukemia Detection
Acute Lymphoblastic Leukemia counts as the most common cancer in children and young adults and is largely undetected in its early stage. Mostly because medical professionals are usually unable to detect it until more noticeable symptoms start emerging, and the disease is already in a pretty advanced stage. This is partly because tests for Acute Lymphoblastic Leukemia are pretty expensive, painful (especially for young children), and hence, rarely done as a preventive measure.
In addition, analyzing the results of a patients’ complete blood count (CBC) can be expensive for medical organizations, as well as time-consuming, and may suffer from classification variability.
Our blood cell analysis can detect Acute Lymphoblastic Leukemia at an early stage, with 99% of sensitivity and specificity.
What are the benefits of using the Kantify optical microscopy analysis solution
The technology works in a fraction of seconds and is scalable to very large volumes of tests. It can enable laboratories to speed up their operations while keeping the same level of quality.
Our AI blood analysis technology does not need to use expensive reagents for its analysis. The operational costs for laboratories are therefore cheaper.
With a very high accuracy on heterogeneous data sources, the technology can be used across many laboratories and medical devices.
AI is helping laboratories to function better while decreasing their operational costs. If you want to learn more on how to leverage AI in your organization, leave us your contact details and we will propose some slots to have an initial confidential exchange.