Assisted Intelligence in Medicine using Interactive Graphs
AIMIG.org

ES, version 2024-03-20 /

• Mission
  • Make medical knowledge better available for decisions using interactive graph technologies. Particularly about interactive differential diagnoses and recommendations of treatments, i.e."meaningfull use" of available knowledge.
  • Roadmap ,
• People
  • A community of physicians, data scientists and software developers.
• Knowledge graph
  • Make a synthesis of best current medical knowledge from different sources as medical ontologies, courses, textbooks, literature, and above all medical experts from specialized scientific communities.
  • Keep this synthesis up-to-date.
• Decision support
  • Given information from the patient and from medical knowledge, try to provide recommendations.
  • The complexity of both kinds of information require a representation as graphs and the use of fuzzy logic.
• Patient record as graph
  • Patient information structured as a graph. Focus on the relations between symptoms, problems and actions.
• Human graph interface
  • Facilitate the understanding between graphs in human minds and graphs in machines.
• NLP
  • Natural Language processing and conversion in graphs.
• Research
  • In order to improve the knowledge base, analysis of large populations of patient records. Improve the attributes of relations and particularly their relative weights.
  • Seek unsuspected patterns.
  • Evaluate the results of treatments.
• Education
  • Training of students playing with graphs in order to discuss differential diagnosis and the potential benefits of next actions.
• Use cases
  • A patient arrive with a problem, for example shortness of breath, what are the likelihoods of possible problems and what are the relative priorities of what should be done next?
    which first questions ? which physical examination ? ask thorax xRay images ? ask an ECG ? ask lab tests ? begin a treatment ? decide if an admission is necessary ? After every answer, re-evaluate the new situation and adapt the visual graph.
• References
  • Assisted Intelligence using Graphs, 2021.
  • Shared Patient Record Networks in Open Source ,
    
• Contacts
  • etienne@saliez.be, ...
• ...
• .