In 2017, an estimated 10 million incident TB cases and 1.6 million TB deaths occurred, representing reductions of 1.8% and 3.9% from 2016, respectively.
Annual tuberculosis incidence (per 100,000 population), by region — worldwide, 2017 (CDC)
AI Dynamics developed TB diagnostics from routine blood test results using publicly available datasets. Our deep learning platform created AI model using age, gender, and 58 blood derived readings. Continuously adding data to the model will only help to optimize and improve it more with time.
NeoPulse – TB model successfully predicted active TB with 88% accuracy, which is higher than existing model*.
- Input: 58 blood derived readings
- Output: Active TB or other
- Model: Deep Neural Network with 5 layers
(*Wu et al., 2019)
We were able to successfully train an AI model to recognize complex industrial parts using Neopulse 3.0 on AWS. The AI solution was built very quickly and was able to recognize objects in unpredictable, real-world environments with high accuracy.
Everybody seems confident in AI, and they actually enjoy solving various AI problems.
The vendor’s services are integral to providing AI solutions for a wider audience. They had an effective project management style, accented by a quick working style.