DeepOncology AI · raw details

Visual Detection Technology for Liver Cancer · Tel Aviv-Yafo · Founded 2018

inactive Pre-Funding ← back to profile

Highlights

Profile claimed by owner

About

Visual Detection Technology for Liver Cancer

DeepOncology AI utilizes deep learning techniques in the fields of radiology and oncology to facilitate clinical cancer research and diagnosis. The company addresses the critical need for automated analysis tools to screen for liver metastases using 3D imaging. The integration of oncology, artificial intelligence, and computer vision has led to technology for the visual detection of liver cancer, one of the deadliest cancer types. DeepOncology AIs DeepOn device offers prospects for precise tumor characterization and early diagnosis and treatment. DeepOncologys express goal is to act as a facilitator between imaging science and clinical research, integrating oncology, radiology, artificial intelligence, and computer vision in clinically significant imaging applications. Through professional, empirical research the company aims to aid in the fight against cancer, where the result of a days work is wholly tangible and of direct benefit to peoples lives.

Identity

NameDeepOncology AI
Slugdeeponcology-ai
Former namesBayesian AI
Type / kindstartup
Crunchbase IDdeeponcology-ai
Source _idagxzfmlsbGlzdHNpdGVyGAsSC05ld19Db21wYW55GICAoJmjk6cJDA

Status

Statusinactive
Status reasonNon Active, Oct 2021 ceased to operate
Last update2026-05-17

Location

HQ country codeIL
HQ region/districtCenter District
HQ cityTel Aviv-Yafo
HQ addressShamgar St 12, Tel Aviv-Yafo, Israel

Web & social

Websitehttp://www.deeponcology.ai/
LinkedInhttps://www.linkedin.com/company/27240607
Twitter / Xhttps://twitter.com/DeepOncologyAI

Classifications

Primary sector Health Tech & Life Sciences
Sub-sectors
Health Tech & Life SciencesDigital HealthcareMedical Decision Support
Technologies
Artificial IntelligenceComputer Vision
Target customers
Healthcare & Life SciencesHealthcareProviders
Business models
B2B
Tags
digital-healthcareradiologynon-invasivehealthcare-providershospitalsclinicsdoctorscomputer-visioncanceroncologyartificial-intelligencemedical-devicesdiagnosticsdecision-support

Funding

Total raised
Current stagePre-Funding

Raw source document

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