This paper is in the following e-collection/theme issue:

Digital Health Reviews (1338) Clinical Information and Decision Making (1449) Natural Language Processing (711) Artificial Intelligence (1443) Development and Evaluation of Research Methods, Instruments and Tools (521) Electronic Health Records (1074) mHealth for Data Collection and Research (986) Ontologies, Classifications, and Coding (245) Clinical Informatics (1054) Machine Learning (1516) Pharmacovigilance (139)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57824, first published .
Applying AI to Structured Real-World Data for Pharmacovigilance Purposes: Scoping Review

Applying AI to Structured Real-World Data for Pharmacovigilance Purposes: Scoping Review

Applying AI to Structured Real-World Data for Pharmacovigilance Purposes: Scoping Review

Authors of this article:

Stella Dimitsaki1 Author Orcid Image ;   Pantelis Natsiavas2 Author Orcid Image ;   Marie-Christine Jaulent1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Stella Dimitsaki   1 , MSc ;   Pantelis Natsiavas   2 , PhD ;   Marie-Christine Jaulent   1 , PhD

1 Laboratoire d'Informatique Médicale et d'Ingénierie des Connaissances en e-Santé - LIMICS, Inserm, Université Sorbonne Paris-Nord, Sorbonne Université, Paris, France

2 Centre for Research and Development Hellas, Institute of Applied Biosciences, Thessaloniki, Greece

Corresponding Author:

  • Stella Dimitsaki, MSc
  • Laboratoire d'Informatique Médicale et d'Ingénierie des Connaissances en e-Santé - LIMICS
  • Inserm, Université Sorbonne Paris-Nord
  • Sorbonne Université
  • 15 Rue de l'École de Médecine
  • Paris, 75006
  • France
  • Phone: 33 767968072
  • Email: Stella.Dimitsaki@etu.sorbonne-universite.fr