Products

ClearRead XRay identifies and highlights lines and tubes on portable chest X-ray images.

ClearRead Detect identifies regions-of-interest on the bone suppressed soft tissue image that may be early-stage lung cancer.

Riverain’s ClearRead CT Vessel Suppress is powered by machine learning and advanced modeling and suppresses vascular structures. The vessel suppression algorithm works with contrast and non-contrast ...

Nodule tracking for differential measurements. Utilizing ClearRead CT Detect, ClearRead CT Compare tracks nodules and provides nodule volumetric changes over time for solid, part-solid, and ground ...

Riverain’s CT Detect technology provides measurements for each detected region of interest including location, type, volume, maximum, minimum, average axial plane diameters, and nodule depth. All ...

LuCAS-plus can automatically detect and suggest nodules through its AI algorithm. The main aim of this solution is to carry out an automated and interconnected medical diagnostic process to minimize ...

**Only available with Samsung Electronics systems.** For Auto Lung Nodule Detection multiple deep learning algorithms help predict lung nodule in general chest radiography as a second reader.

SenseCare Chest X-ray solution helps doctors screen out suspected cases of various diseases from chest X-ray images. It automatically provides the location and analysis of lesions.

SenseCare Lung CT automatically detects pulmonary nodules and pneumonia (including COVID-19) lesions and provides analysis such as lesion classification, risk evaluation, quantification, and ...

X1 is a medical device that uses deep learning to analyze chest x-rays, flagging those images that are suggestive of the presence of one or more of 15 pre-specified findings. It is PACS agnostic and ...

TIRESYA is the core of Digitec's products featuring artificial intelligence algorithms. TIRESYA’s properties and functions are applied across the following radiology products: - ERACLE - Digital ...

It detects and quantifies pulmonary nodules, providing size, volume, nodule type, location, calcification, and spiculation. An automatic report based on the calculated Lung-RADS category is produced ...