More than 230 million people worldwide suffer from peripheral arterial disease (PAD) and more than 40% of them are asymptomatic.
The hard access to frequent screening and monitoring leads to complications such as critical limb ischemia (CLI) that have very negative prognosis including major amputation or even death.
Kelvin Health uses a mobile thermal imaging camera that captures the heat of the body, segments the thermal image, and applies artificial intelligence to detect anomalies related to vascular conditions.
The thermal camera can capture the heat of the body even under layers of body tissues. If something is wrong with the thermal footprint of the body there are a limited number of potential reasons, such as changes in the vascular system that our AI can recognize.
Applying this scanning process frequently naturally increases the precision of the method.
Kelvin Health’s DC Platform is used to collect patients’ thermal imaging data and then allow its annotation by the specialists.
Kelvin Mobile App and Platform uses FLIR’s mobile thermal camera to capture the human body temperature applying proprietary gamma segmentation.
You can see an angiography demonstrating that the blood flow of the right leg is blocked at the knee level. The same is true about the right leg, so both legs are not well supplied with blood below the knee line.
Kelvin Health’s thermogram in the middle leads to the same conclusion, as the lower parts of both legs are much colder than the upper.