Products

Ligence has developed a platform for automated analysis and reporting of 2D transthoracic echocardiography studies. The Ligence Heart platform reads DICOM format data, recognises image views, heart ...

TRACE4AD provides the subject's level of risk (low or high risk) of having or progressing to Alzheimer's disease dementia within 24 months, by an automatic reading of the subject's brain gray matter ...

brainTale-care is a software medical device available in SaaS (Software as a Service) today consisting of two modules: • The brainQuant module, which enables automatic processing and quality ...

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 ...

TRACE4OC provides the woman's level of risk (very low risk or medium-high risk) of being affected with ovarian cancer at the date of the TRACE4OC-processed USI investigation of an adnexal mass, ...

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 ...

Assists in the detection, segmentation, differential diagnosis and localization of 22 types of intracranial tumors on MRI scans: chordoma, lymphoma, craniopharyngioma, choroid plexus, papilloma, ...

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 ...

Breast-SlimView is a clinical decision support solution for 2D/3D mammography. It has learnt to detect what is normal from a database of mammograms, then, based on this normalized database, it learns ...

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 ...