Analyzing Chest X-Rays+ Machine and Deep Learning
Early Diagnosis Pneumonia PEDCanada is Accurate and Fast
Our Mission – Supporting pneumonia Diagnosis using AI (machine and deep learning)
Pneumonia is a leading cause of death in children under five years of age, taking a life every 39 seconds accounting for 15% of deaths in the population under five years and being responsible for 808,694 deaths globally in 2017. Also, pneumonia is one of the leading causes of morbidity and mortality from infection in elderly patients.
Using Deep Learning (DL) and Machine Learning (ML) platforms, we have developed specialized algorithmic solutions to analyze chest x-rays for faster and better assessment than human accuracy. Our solutions, which are both in API and Web Platforms, are designed to offer faster and better access for second and third diagnostic opinions by medical professionals to help develop a therapeutic approach quickly. This will help the patients and physicians by reducing anxiety caused by not knowing what they are dealing with and will result in selecting beat treatment method personalized by patient’s situation.
Pneumonia research and diagnosis is being redefined by a new technology: a technology that promises of computational methodology to reduce human error and increase time and accuracy efficiency through intelligent analysis of chest x-rays.
PEDCanada’s application is pushing it’s technology past limits of traditional lab methodologies in diagnosis of pneumonia with its digital platform and pipeline of AI application. Developed by a combination of medical advisor and software developers, PEDCanada is transforming the economics and practice of pneumonia, putting the power of early diagnosis of pneumonia using data-centric algorithms through analyzing Chest X-rays to help diagnose this disease with accuracy and in real time.
Accuracy
Our application offers near-human accuracy in its diagnostic procedure.
Quickness
Using power of AI, our computation takes just a few seconds and provides results instantly