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

Digital Health Reviews (1626) Clinical Information and Decision Making (1765) Natural Language Processing (847) Artificial Intelligence (1929) Development and Evaluation of Research Methods, Instruments and Tools (685) Electronic Health Records (1244) mHealth for Data Collection and Research (1137) Ontologies, Classifications, and Coding (295) Clinical Informatics (1227) Machine Learning (1897) Pharmacovigilance (165)

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 (3) Tweetations Metrics

Journals

  1. Paithankar V, Devnani D, Nimburkar T. A review article on "AI-guided discovery of novel anti-inflammatory agents for cancer therapy: A new era in drug development". Intelligent Hospital 2025;1(1):100007 View
  2. Rudnisky E, Paudel K. Pharmacovigilance in the Era of Artificial Intelligence: Advancements, Challenges, and Considerations. Cureus 2025 View
  3. Youssef E, Weddle K, Zimmerman L, Palmer D. Pharmacovigilance in Cell and Gene Therapy: Evolving Challenges in Risk Management and Long-Term Follow-Up. Drug Safety 2025 View