The latest in early detection

Our ClearRead technology is a modern approach utilizing the latest advances in machine learning, such as deep learning. It has surpassed the state-of-the-art by a significant margin based on a combination of frameworks, modeling, and computational ingenuity.

Achieving high reliability and significant performance usually uses substantial amounts of processing. ClearRead system can run on commodity hardware, without the need for special computer cards (GPUs) or large memory systems. By implementing this machine learning technology, our software allows radiologists to make better reads in a more timely fashion.

ClearRead handles a broad range of acquisition protocols, which is a difficult problem for automatic analysis algorithms. Riverain Technologies developed adaptive algorithms, so each study is normalized for factors such as noise, reconstruction kernels, and slice sampling effects.

Conventional approaches typically collect data from different sensors to adjust component algorithms. This leaves them vulnerable to changes in hardware, protocols, and reconstruction methods. Riverain’s adaptive process allows our software to be vendor neutral. ClearRead provides enterprise imaging without compromise, while also enabling fast and simple installation.

Vessel suppression enables improved nodule detection, but its benefit continues throughout the processing chain. Suppressing vessels and surrounding structures allows for highly precise segmentation of nodules, which provides an accurate assessment of size, volume, and other general nodule characteristics.

Vessel suppression aids the radiologist in interpretation through the removal of vascular structure within ground glass nodules, critical to the assessment of density and tissue composition. This allows a radiologist to rapidly determine the relative amount of solid tissue, which is a critical aspect for clinical decision making.