- \n
- Make medical knowledge better available for decisions<\/b><\/i>\n using interactive graph technologies. Particularly about interactive\n differential diagnoses and recommendations of treatments,\n i.e.”meaningfull use” of available knowledge.<\/li>\n
- A new vision proposed for the former GrApH-AI project.<\/li>\n <\/ul>\n <\/li>\n
- People<\/strong>\n
- \n
- A community of physicians, data scientists and software\n developers. https:\/\/slack.com\/<\/a>\n –> “GrApH AI ” ,<\/li>\n <\/ul>\n <\/li>\n
- Decision\n support<\/strong><\/a>\n
- \n
- Given information from the patient and from medical knowledge, try\n to provide recommendations.<\/li>\n
- The complexity of both kinds of information require a\n representation as graphs and the use of fuzzy logic.<\/li>\n <\/ul>\n <\/li>\n
- Knowledge\n graph<\/strong><\/a>\n
- \n
- Make a synthesis of best current medical knowledge from different\n sources as medical ontologies, courses, textbooks, litterature, and\n above all medical experts from specialized scientific communities.<\/li>\n
- Keep this synthesis up-to-date.<\/li>\n <\/ul>\n <\/li>\n
- Patient\n record as graph<\/strong><\/a>\n
- \n
- Patient information structured as a graph. Focus on the relations\n between symptoms, problems and actions. <\/li>\n <\/ul>\n <\/li>\n
- Research<\/strong><\/a>\n
- \n
- In order to improve the knowledge base, analysis of large\n populations of patient records. Improve the attributes of relations\n and particularly their relative weights. <\/li>\n
- Seek unsuspected patterns. <\/li>\n
- Evaluate the results of treatments. <\/li>\n <\/ul>\n <\/li>\n
- NLP<\/strong><\/a>\n
- \n
- Natural Language processing and conversion in graphs.<\/li>\n <\/ul>\n <\/li>\n
- Human\n graph interface<\/strong><\/a>\n
- \n
- Facilitate the understanding between graphs in human minds and\n graphs in machines.<\/li>\n <\/ul>\n <\/li>\n
- Education<\/strong><\/a>\n
- \n
- Training of students playing with graphs in order to discuss\n differential diagnosis and the potential benefits of next actions.<\/li>\n <\/ul>\n <\/li>\n
- Brain storming and use cases<\/strong>\n
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- A patient arrive with a problem, for example chest pain, what are\n the relative priorities of what should be done next? which first\n questions ? which physical examination ? ask an ECG ? ask lab tests\n ? order images ? begin a treatment ? decide if an admission is\n necessary ? After every answer, evaluate the new situation and adapt\n the visual graph.<\/li>\n
- Use cases<\/a>\n and invitation to propose new ideas.<\/li>\n <\/ul>\n <\/li>\n
- References<\/strong>\n
- \n
- Various\n awesome resources<\/a> ,<\/li>\n
- Slides on 11-Dec-2021<\/a> .<\/li>\n <\/ul>\n <\/li>\n
- Contacts<\/strong>\n
- \n
- etienne@saliez.be<\/a>, …<\/li>\n
- This site will be soon moved to https:\/\/www.aimig.org\/<\/a>\n .<\/li>\n <\/ul>\n <\/li>\n
- …<\/li>\n
- .
![\"Project](\"Global-Project-Graph.png\")
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- This site will be soon moved to https:\/\/www.aimig.org\/<\/a>\n .<\/li>\n <\/ul>\n <\/li>\n
- Slides on 11-Dec-2021<\/a> .<\/li>\n <\/ul>\n <\/li>\n
- References<\/strong>\n
- Decision\n support<\/strong><\/a>\n