Radiology-level
on chest X-Rays using Artificial Intelligence Technology.
We have developed algorithms that can detect abnormalities from chest X-Rays at a clinically significant level benefiting Radiologists and Doctors.
AI for Radiologist
Decision Support
Our algorithm can help doctors understand X-rays and reduce subjectivity in diagnosis. This increases the accuracy of the report helping Doctors diagnose illness.
Reduce Reporting Delays
Once fine-tuned, our algorithms work in seconds to reach a diagnosis. The subsequent Natural Language Processing generated report enables a fully documented diagnosis. This capability addresses the International shortage of Radiologists helping both patients and Doctors.
Reduce Interpretation Errors
It is common for different Doctors to have different opinions about X-Rays. Our algorithms support the Doctors with an impartial opinion for them to compare their thoughts against.
Backlogs
Due to the speed of our algorithms and automated report generation capability, the overall number of backlogs will be reduced. This is important for both patients and Doctors since critical illnesses will be detected earlier leading to an increased chance of survival.
Problem Statement
With approximately 2 billion procedures per year, chest X-Rays are the most common and the most effective image examination tool. X-Rays provide critical illness screening, diagnosis, and management of diseases including pneumonia. However, an estimated two-thirds of the global population lack access to X-Ray diagnostics.