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.

Subsidie
€ 2.499.875
2024

Projectdetails

Introduction

There is already a major shortage of radiologists who analyze CT scans for cancer diagnostics. Radiologists spend too much time on manual and repetitive tasks, such as manually measuring lesions, using inadequate tooling. As the incidence of cancer is expected to grow 27.4% over the next 10 years (according to WHO), the pressure on radiologists will only increase, leading to misdiagnosis or delay in diagnosis with potentially fatal consequences.

Solution Overview

With Better Medicine Artificial Intelligence, the time radiologists spend on interpreting cancer-related CT scans is reduced by 40-60% by automating a range of repetitive tasks to significantly streamline workflows.

Benefits

  • We help reduce the shortage of radiologists.
  • We save lives with timely and accurate diagnostics.

Unique Features

Our solution is the first AI-powered tool for radiologists that takes the full-body approach and enables dynamic assessment of tumors, overcoming the biggest shortcomings of current offerings on the market.

Financiële details & Tijdlijn

Financiële details

Subsidiebedrag€ 2.499.875
Totale projectbegroting€ 3.571.250

Tijdlijn

Startdatum1-1-2024
Einddatum31-12-2025
Subsidiejaar2024

Partners & Locaties

Projectpartners

  • BETTER MEDICINE OUpenvoerder

Land(en)

Estonia

Vergelijkbare projecten binnen EIC Accelerator

EIC Accelerator

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.

€ 1.753.842
EIC Accelerator

Precision biomarker based on digital pathology and artificial intelligence to guide fast and cost-effective personalized treatment decision support for colorectal cancer patients

DoMore Dx offers innovative diagnostics software using deep learning on cancer tissue images to personalize chemotherapy decisions, potentially saving 250,000 patients and 4 billion EUR annually.

€ 2.499.999
EIC Accelerator

Facilitating personalised Lung Treatment Decisions through a Deeptech AI Clinical Decision Support System

Thirona's LungQ-Care project aims to develop an AI-driven clinical decision support system to enhance personalized lung treatment and streamline thoracic imaging analysis.

€ 2.499.999
EIC Accelerator

AI-driven cardiac ultrasound analysis

Ligence is developing an AI-driven tool to automate heart ultrasound image analysis, enhancing accessibility, accuracy, and speed of diagnosis in healthcare settings.

€ 2.500.000
EIC Accelerator

SWAN: Blitzscaling the early detection of skin cancer

Swan offers rapid, full-body dermoscopic skin cancer detection using advanced AI and imaging technologies, enhancing early diagnosis and treatment accessibility for all stakeholders.

€ 2.500.000

Vergelijkbare projecten uit andere regelingen

1.1 - RSO1.1...

Artificiële intelligentie voor Reproduceerbare Analyse van Tumorgroei

Het project ontwikkelt AI-software voor betrouwbare tumorweefselanalyse, gericht op CE-certificering voor de Europese markt.

€ 373.158
Mkb-innovati...

AI-based medical assistant - Herkennen en classificeren van tumoren m.b.v. kunstmatige intelligentie

Dit project ontwikkelt een geavanceerde beeldherkenningstechnologie voor realtime screening van eiwittypologieën in biopten, om de behandeling van complexe tumoren te verbeteren.

€ 200.000
ERC Proof of...

AI to predict Cancer metastasis using Ultra-Echo-Sono imaging

AI CUrES aims to enhance early diagnosis and pre-emptive therapies for cancer metastasis by utilizing nanosized-contrast agents and AI-driven bioimaging of extracellular vesicles from colorectal tumors.

€ 150.000
1.1 - Het ve...

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.

€ 795.688
ERC Consolid...

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.

€ 2.206.963