Rayscape is an AI-powered radiology software platform that uses machine learning to analyze chest X-rays and CT scans. It can identify more than 148 pathologies on chest X-rays with speed and high accuracy, including lung cancer, pneumonia, and tuberculosis. Rayscape can also automatically calculate the Cardio-Thorax Index (CTI), which is a measure of heart size relative to lung size. This information can help doctors to prioritize patients for further testing or treatment.
Rayscape is seamlessly integrated into any DICOM viewer, so radiologists can easily use it as part of their normal workflow. It also provides a range of visualization tools that can help radiologists to better understand the images they are viewing. For example, Rayscape can create 3D reconstructions of lung nodules, which can help radiologists to assess their size, shape, and location.
Rayscape is a valuable tool for improving the efficiency and accuracy of lung cancer screening and diagnosis. It can help radiologists to identify more cases of lung cancer earlier, which can lead to better patient outcomes. Rayscape is also being used to research new ways to detect and treat lung cancer.
Here are some of the key benefits of using Rayscape
High accuracy Rayscape has been shown to be highly accurate in detecting a wide range of lung pathologies, including lung cancer.
Efficiency Rayscape can help radiologists to analyze chest X-rays and CT scans more efficiently, freeing up their time to focus on other tasks.
Visualization tools Rayscape provides a range of visualization tools that can help radiologists to better understand the images they are viewing.
Research Rayscape is being used to research new ways to detect and treat lung cancer.
If you are a radiologist or healthcare professional who is looking for an AI-powered radiology software platform, Rayscape is a valuable tool that can help you to improve the efficiency and accuracy of your work
