Project Details

Description

MIRACLE aims to develop an AI methodology to evaluate and rank mitral
valve regurgitation. A secondary goal is to compare its performance to clinical
experts. A diagnostic assessment demonstrator will be implemented and
empirically evaluated in field studies to answer 6 research questions
structured in three main topics.
Short titleMIRCALE
AcronymMIRCALE
StatusActive
Effective start/end date01.10.202530.09.2028

Fields of science

  • 302018 Vascular surgery
  • 302026 Heart surgery
  • 302 Clinical Medicine
  • 302081 Thoracic surgery
  • 102013 Human-computer interaction
  • 211902 Assistive technologies
  • 102022 Software development
  • 202017 Embedded systems
  • 211912 Product design
  • 102021 Pervasive computing
  • 102 Computer Sciences
  • 102009 Computer simulation
  • 102020 Medical informatics
  • 102019 Machine learning
  • 102025 Distributed systems
  • 101019 Stochastics
  • 103029 Statistical physics
  • 101018 Statistics
  • 101017 Game theory
  • 101016 Optimisation
  • 101015 Operations research
  • 101014 Numerical mathematics
  • 101029 Mathematical statistics
  • 101028 Mathematical modelling
  • 101026 Time series analysis
  • 301103 Medical diagnostics
  • 301102 Anatomy
  • 101024 Probability theory
  • 102037 Visualisation
  • 102026 Virtual reality
  • 301115 Sonoanatomy
  • 301111 Radiologic anatomy
  • 202037 Signal processing
  • 202036 Sensor systems
  • 202035 Robotics
  • 102003 Image processing
  • 102001 Artificial intelligence
  • 102032 Computational intelligence
  • 102004 Bioinformatics
  • 101027 Dynamical systems
  • 305907 Medical statistics
  • 101004 Biomathematics
  • 305905 Medical informatics
  • 101031 Approximation theory
  • 301409 Neuroanatomy
  • 102033 Data mining
  • 305901 Computer-aided diagnosis and therapy
  • 106007 Biostatistics
  • 302013 Medical diagnostics
  • 102018 Artificial neural networks
  • 106005 Bioinformatics
  • 302071 Radiology
  • 302032 Cardiology
  • 302031 Intensive care medicine
  • 302030 Internal medicine

JKU Focus areas

  • Digital Transformation