Clinical Pharmacy AI Agent for Allergy Detection Using Machine Learning
This project develops a clinical pharmacy decision support system focused on analyzing prescriptions to improve medication safety. An AI model checks new prescriptions against a patient’s medication history and known allergies, generating safety alerts. The system centralizes prescription data for doctors and pharmacists while ensuring that AI functions strictly as a support tool, not a decision-maker. This work was conducted at Arab International University (AIU), Syria. The official website of the university is: https://www.aiu.edu.sy (https://www.aiu.edu.sy/)
Authors
- Tarek Barhoum (ORCID: https://orcid.org/0000-0002-9132-6940)
- Christelle Raad (ORCID: https://orcid.org/0009-0000-2126-9330)
Institutions
- Arab International University (SY)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-04-12
- DOI
- https://doi.org/10.5281/zenodo.19520854
- Primary Topic
- Pharmacovigilance and Adverse Drug Reactions
- Type
- article
- Field-Weighted Citation Impact
- 0.00