MedHub-AI · raw details

Video Analysis Diagnostics · Tel Aviv-Yafo · Founded 2018

active Series A ← back to profile

Highlights

IIA supported (ever)1 patentProfile claimed by owner

About

Video Analysis Diagnostics

MedHub-AI develops deep-learning video analysis algorithms that provide accurate diagnostic insights and practical guidance for physicians. The company's algorithms can be incorporated into medical video systems to improve the decision-making process for cardiologists and other physicians. MedHub-AI's technology uses multiple technological and big data processing methods to handle a massive amount of clinical data, both visual and textual. Its algorithms are designed to improve physicians' performance and shorten procedure times by providing a multilayered automated system that can be implemented from diagnosis through practical procedural guidance and documentation. The company currently offers solutions for the cardiology and gastroenterology markets. MedHub-AI's AutocathFFR system is CE and AMAR approved.

Identity

NameMedHub-AI
Slugmedhub-ai
Type / kindstartup
Crunchbase IDmedhub-ai
Source _idagxzfmlsbGlzdHNpdGVyGAsSC05ld19Db21wYW55GICAoPGA1rgIDA

Status

Statusactive
Last update2026-05-17

Location

HQ country codeIL
HQ region/districtCenter District
HQ cityTel Aviv-Yafo
HQ addressHaHarash St 20, Tel Aviv, Israel

Web & social

Websitehttps://www.MedHub-AI.com
Careers pagehttps://www.medhub-ai.com/careers
LinkedInhttps://www.linkedin.com/company/28141513
Twitter / Xhttps://twitter.com/AiMedhub?s=08
Facebookhttps://www.facebook.com/MedHub-AI-230139234230058
YouTubehttps://www.youtube.com/channel/UCVS5vhpv4fN-SSf3cipQ9Sg/featured

Classifications

Primary sector Health Tech & Life Sciences
Sub-sectors
Health Tech & Life SciencesDigital HealthcareMedical Decision Support
Technologies
Artificial IntelligenceDeep LearningMachine LearningPlatforms & InterfacesMobile
Target customers
Healthcare & Life SciencesHealthcareInsurance CompaniesProviders
Business models
B2B
Tags
mobile-applicationsreal-timegastroenterologydata-analyticsmachine-learningvideo-analyticscardiologydiagnosticspredictive-analyticsdeep-learningartificial-intelligencedigital-healthcaredecision-makingbig-datamedical-datahealthcare-providershospitalsnon-invasiveinsurance-companiesdecision-support

Funding

Total raised$11.6M
Current stageSeries A

Raw source document

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