Anita Burgun

BURGUN Anita

AI in medicine

anita.burgun [at] aphp.fr

Short bio

MD, PhD. Professor of Medical Informatics at Université de Paris. Chair of the Department of Medical Informatics at Georges Pompidou and Necker Hospitals (AP-HP). Leader of the «Information science to support personalized medicine» research group at Cordeliers Research Center.

Topics of interest

Medical decision, Electronic Health Records, Natural Language Understanding

Project in Prairie

Anita Burgun’s objectives are to develop AI systems that can be used to support medical decision in clinics, like hybrid approaches combining learning algorithms and logics. Examples are deep phenotyping based on the EHR, similarity metrics in rare diseases, and precision medicine. She will participate in AI programs for undergraduate and graduate medical students, as well as AI in medicine summer school.

Quote

The development of Artificial Intelligence for clinical decision cannot be achieved without hybrid approaches, to learn from a limited number of heterogeneous cases, with complex phenotypes, and complex underlying biological mechanisms. Solutions based on deep phenotyping are being investigated to solve a diagnostic or a therapeutic problem of a new patient by recalling previous cases that exhibited similar characteristics in rare disease clinical data warehouses. Future directions consist in developing digital twins solutions that integrate the precision medicine paradigm. Such approaches combine different methodologies, using holistic omics data, and existing data from clinical trials and routine care. Because of data complexity, multi-scale knowledge, and fast changing models, AI in medicine raises lots of issues that require multidisciplinary research at the highest level.

Team

LE PRIOL Emma
LE PRIOL Emma
PhD student
Master’s degree : mathematics (Université Paris – Dauphine) and social sciences (Sciences Po Paris)

QUENNELLE Sophie
QUENNELLE Sophie
PhD student
Master 2 – Informatique biomédicale, Sorbonne Université, Paris Docteur en cardiologie – Université Paris Cité

Ivan LERNER
Ivan LERNER
PhD student
Diplôme d’etude supérieur de Santé Publique, Université Paris Descartes, 2020 Double-cursus Médecine-sciences, 2016, Université Paris Descartes Master 2 de science-cognitives, 2013, École normale supérieure, Paris

ANDREW Judith Jeyafreeda
ANDREW Judith Jeyafreeda
Postdoctoral researcher

FAVIEZ Carole
FAVIEZ Carole
Postdoctoral researcher