Voxellence · raw details

AI-powered Radiology · Tel Aviv-Yafo · Founded 2017

inactive Pre-Funding ← back to profile

About

AI-powered Radiology

Voxellence develops AI-based medical image enhancement technology for a 90% reduction of radiation exposure and 50% reduction of image acquisition time. Voxellence's image enhancement is based on proprietary deep neural-network technology that performs powerful image enhancing while preserving local, fine details that are important for diagnostics. In contrast to existing enhancement technologies such as iterative reconstruction (for CT) or compressed sensing (for MRI), which affect the genuine appearance of the images, those enhanced by Voxellence's algorithms remain very similar to normal dose images or standard duration acquisition, thus are more trustable by the radiologist. Voxellence's technology aims to enable more people to access life-saving imaging by reducing radiation-related risk, imaging cost, and waiting time for an appointment. Imaging service providers that adopt the technology can enjoy higher profitability, increased productivity, and increased offerings (ultra-low-dose scans).

Identity

NameVoxellence
Slugvoxellence
Type / kindstartup
Crunchbase IDvoxellence
Source _idagxzfmlsbGlzdHNpdGVyGAsSC05ld19Db21wYW55GICA4JrTp_kIDA

Status

Statusinactive
Status reasonNon Active, Feb 2022 ceased to operate
Last update2026-05-17

Location

HQ country codeIL
HQ region/districtCenter District
HQ cityTel Aviv-Yafo
HQ addressHaMered St 25, Tel Aviv-Yafo, Israel

Classifications

Primary sector Health Tech & Life Sciences
Sub-sectors
Health Tech & Life SciencesDigital HealthcareDigital Medical Diagnostics
Technologies
Simulation & ImagingArtificial IntelligencePlatforms & InterfacesSoftware
Target customers
Healthcare & Life SciencesHealthcareProviders
Business models
B2B
Tags
digital-healthcaresaasimagingdiagnosticsdeep-neural-networksalgorithmsmedical-image-analysisartificial-intelligenceradiology

Funding

Total raised
Current stagePre-Funding

Raw source document

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