AI-based clinical software for fully automated Cardiac Magnetic Resonance reporting
AI4MedImaging is developing AI4CMR.Plus, a revolutionary software for automated cardiac assessment via CMR, aiming for a 2025 launch to enhance CVD diagnosis and improve patient outcomes.
Projectdetails
Introduction
AI4MedImaging is developing a disruptive clinical software - AI4CMR.Plus - for fully automated assessment of heart function and structure based on Cardiac Magnetic Resonance (CMR), with the potential to disrupt the current state of the art of cardiovascular disease (CVD).
Objectives
By simplifying, accelerating, and enhancing CMR assessment, AI4CMR.Plus is the long-sought key to unlock the full potential of magnetic resonance as a routine and gold-standard heart imaging tool, towards a new era of high-precision CVD diagnosis.
Market Launch
To gain visibility, market traction, and consolidate our value chain, we have launched an MVP version of our software - AI4CMR - to the EU market early this year.
Future Plans
With EIC support, we now aim at accelerating AI4CMR.Plus development and preparing its market launch for 2025.
Impact
Commercial exploitation of AI4CMR.Plus will prompt steady company growth, strengthen the EU digital sovereignty, and, importantly, have a life-changing impact on millions threatened by CVD.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 1.753.842 |
Totale projectbegroting | € 2.505.488 |
Tijdlijn
Startdatum | 1-9-2022 |
Einddatum | 28-2-2025 |
Subsidiejaar | 2022 |
Partners & Locaties
Projectpartners
- AI4MEDIMAGING MEDICAL SOLUTIONS SApenvoerder
Land(en)
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Acorai Heart Monitor - Non-invasive multi-sensor device for heart failure monitoringThe Acorai Heart Monitor is a non-invasive device using machine learning to estimate cardiac pressure in heart failure patients, aiming to improve treatment outcomes and reduce hospitalizations. | EIC Accelerator | € 2.299.633 | 2023 | Details |
Empowering Radiologists in Cancer Diagnostics with Artificial IntelligenceBetter Medicine AI automates repetitive tasks in cancer CT scan analysis, reducing radiologist workload by 40-60% to improve diagnostic accuracy and address the radiologist shortage. | EIC Accelerator | € 2.499.875 | 2024 | Details |
Development and clinical evaluation of an end-to-end Heart Failure management solution powered by predictive AIImplicity is developing an AI-driven platform to predict heart failure events using cardiac device data, enhancing patient care and reducing hospitalizations through tailored insights and management tools. | EIC Accelerator | € 2.488.359 | 2025 | Details |
Confident®, the digital simulation platform that revolutionizes cardiovascular interventions
Confident is an AI-driven platform that creates 3D virtual models for cardiovascular interventions, enabling personalized treatment planning to improve patient outcomes and reduce surgical risks.
An AI powered turn-key solution for MRI based interventional cardiology
Nano4Imaging aims to deliver TRACKR, a B2B platform enhancing MRI-guided interventional radiology with nano-coatings and real-time tracking software for commercial device makers.
Acorai Heart Monitor - Non-invasive multi-sensor device for heart failure monitoring
The Acorai Heart Monitor is a non-invasive device using machine learning to estimate cardiac pressure in heart failure patients, aiming to improve treatment outcomes and reduce hospitalizations.
Empowering Radiologists in Cancer Diagnostics with Artificial Intelligence
Better Medicine AI automates repetitive tasks in cancer CT scan analysis, reducing radiologist workload by 40-60% to improve diagnostic accuracy and address the radiologist shortage.
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Vergelijkbare projecten uit andere regelingen
Project | Regeling | Bedrag | Jaar | Actie |
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Smart Cardiac Magnetic Resonance Delivering One-Click and Comprehensive Assessment of Cardiovascular DiseasesThe project aims to revolutionize cardiovascular disease diagnosis and treatment by developing a fast, automated cardiac MRI system for comprehensive, one-click imaging and analysis. | ERC Starting... | € 1.498.529 | 2023 | Details |
CAP.AICAP.AI ontwikkelt een platform dat hartritmes analyseert met AI en machine learning om hartaandoeningen vroegtijdig op te sporen. | 1.1 - Het ve... | € 498.266 | 2022 | Details |
Schaalbare AI voor patiënten met pijn op de borstHet project ontwikkelt een AI-algoritme dat cardiologen ondersteunt bij het aanvragen van CT-scans voor patiënten met pijn op de borst. | 1.1 - Het ve... | € 795.688 | 2024 | Details |
Inclusive Artificial Intelligence for Accessible Medical Imaging Across Resource-Limited SettingsAIMIX aims to develop inclusive imaging AI for resource-limited settings, enabling affordable, scalable, and accessible ultrasound screening to reduce global health disparities. | ERC Consolid... | € 2.206.963 | 2023 | Details |
Med.aiHet Med.ai project ontwikkelt een slimme hoofdcamera voor de medische sector om de kwaliteit en toegankelijkheid van chirurgische zorg te verbeteren met AI-technologie. | Mkb-innovati... | € 200.000 | 2021 | Details |
Smart Cardiac Magnetic Resonance Delivering One-Click and Comprehensive Assessment of Cardiovascular Diseases
The project aims to revolutionize cardiovascular disease diagnosis and treatment by developing a fast, automated cardiac MRI system for comprehensive, one-click imaging and analysis.
CAP.AI
CAP.AI ontwikkelt een platform dat hartritmes analyseert met AI en machine learning om hartaandoeningen vroegtijdig op te sporen.
Schaalbare AI voor patiënten met pijn op de borst
Het project ontwikkelt een AI-algoritme dat cardiologen ondersteunt bij het aanvragen van CT-scans voor patiënten met pijn op de borst.
Inclusive Artificial Intelligence for Accessible Medical Imaging Across Resource-Limited Settings
AIMIX aims to develop inclusive imaging AI for resource-limited settings, enabling affordable, scalable, and accessible ultrasound screening to reduce global health disparities.
Med.ai
Het Med.ai project ontwikkelt een slimme hoofdcamera voor de medische sector om de kwaliteit en toegankelijkheid van chirurgische zorg te verbeteren met AI-technologie.