The core for e-Health, big data analysis and artificial intelligence
The core for e-Health, big data analysis and artificial intelligence
The core for e-Health, big data analysis and artificial intelligence
Major directions targeted
medical data analysis and costs associated with medical services,
building predictive models and statistical simulations;
optional (extracurricular) eHealth courses to introduce the UMFCD community (undergraduates, PhDs and postgraduates) to the field of eHealth and to show them the practical applicability of eHealth technologies
the development of intelligent solutions starting from the needs of the medical staff through projects with practical applicability for students, PhD students and post-graduates and supporting technological transfer
optional (extracurricular) training courses in artificial intelligence and its applicability in the medical field
optional (extracurricular) training courses in data analysis
organizing competitions and hackathons to stimulate creativity and innovation among medical students and professionals.
participate in the development of public policies and ethical principles in the field of e-Health
organizing hands-on workshops on data analysis and building AI models
operationalization of a multifunctional digital laboratory - data analysis
publication of a scientific journal dedicated to the use of technology and innovation in medicine
the development of specific research projects.
CieH TEAM
The core for e-Health, big data analysis and artificial intelligence
Assistant Lecturer Dr. Octavian ANDRONIC
Coordinator of The core for e-Health, big data analysis and artificial intelligence
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