CARDITIS

CARDITIS addresses cardiologists and cardio surgeons needs for innovative solutions supporting the diagnosis and treatment of Cardiovascular diseases. The efficient method of multi-modal imaging, reconstruction and knowledge representation used by the project introduces new methods for simulations, decision making and risk analysis.

Today, cardiac care of patients is a major medical problem and a lot of research and effort has gone into to reduce the incidence of cardiovascular diseases.

CARDITIS plans to develop a user-friendly, fast and reliable tool that will provide access to heterogeneous health information sources (MRI, IVUS, CT, Biplane angiography) and will introduce new methods for decision support and risk analysis.

CARDITIS' primary objective is to improve understanding of the human cardiovascular system.

The objectives of the CARDITIS system are:

  • The introduction of a surgery planning system based on the construction of a 3D patient-specific geometric model of the cardiovascular system;
  • The development of innovative and efficient methods for multimodal imaging, reconstruction and knowledge representation;
  • To provide cardio surgeons and cardiologists with a tool for handling realistic simulations of medical procedures, an interactive virtual environment to design surgical plans and alter the geometry of the 3D individualized model.

For further information, please visit:
http://www.carditis.info

Project co-ordinator:
TeliaSonera Finland

Partners:

  • TeliaSonera -ICT Turku, University of Turku (FI)
  • IDS SCHEER (CZ)
  • Michaelideion Cardiac Centre - HITECH SNT S.A. (GR)
  • DAP Noesis - Apollonion Hospital (CY)

Timetable: from 04/04 - to 09/06

Total cost: € 3.644.650

EC funding: € 2.200.000

Instrument: STREP

Project Identifier: IST-2002-507170

Most Popular Now

Research Shows AI Technology Improves Pa…

Existing research indicates that the accuracy of a Parkinson's disease diagnosis hovers between 55% and 78% in the first five years of assessment. That's partly because Parkinson's sibling movement disorders...

Who's to Blame When AI Makes a Medi…

Assistive artificial intelligence technologies hold significant promise for transforming health care by aiding physicians in diagnosing, managing, and treating patients. However, the current trend of assistive AI implementation could actually...

First Therapy Chatbot Trial Shows AI can…

Dartmouth researchers conducted the first clinical trial of a therapy chatbot powered by generative AI and found that the software resulted in significant improvements in participants' symptoms, according to results...

DMEA sparks: The Future of Digital Healt…

8 - 10 April 2025, Berlin, Germany. Digitalization is considered one of the key strategies for addressing the shortage of skilled workers - but the digital health sector also needs qualified...

DeepSeek: The "Watson" to Doct…

DeepSeek is an artificial intelligence (AI) platform built on deep learning and natural language processing (NLP) technologies. Its core products include the DeepSeek-R1 and DeepSeek-V3 models. Leveraging an efficient Mixture...

Stepping Hill Hospital Announced as SPAR…

Stepping Hill Hospital, part of Stockport NHS Foundation Trust, has replaced its bedside units with state-of-the art devices running a full range of information, engagement, communications and productivity apps, to...

DMEA 2025: Digital Health Worldwide in B…

8 - 10 April 2025, Berlin, Germany. From the AI Act, to the potential of the European Health Data Space, to the power of patient data in Scandinavia - DMEA 2025...