Artificial Neural Network-based Model for Predicting Cardiologists’ Over-apron Dose in CATHLABs
This study underscores the potential of ANN models for accurate radiation dose prediction, enhancing safety protocols, and providing a reliable tool for real-time exposure assessment in clinical settings. Future research should focus on broader validation and integration into real-time monitoring systems.
Authors
- Reza Fardid (ORCID: https://orcid.org/0000-0002-4089-4745)
- Mohammad Vahid Jorat (ORCID: https://orcid.org/0000-0001-9247-0533)
- Hossein Parsaei (ORCID: https://orcid.org/0000-0003-1052-8434)
- Hadi Rezaei
- Fatemeh Farah
Institutions
- Shiraz University of Medical Sciences (IR)
Publication Details
- Journal
- Journal of Medical Physics
- Published
- 2024-10-01
- DOI
- https://doi.org/10.4103/jmp.jmp_99_24
- Primary Topic
- Hemodynamic Monitoring and Therapy
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Shiraz University of Medical Sciences
- Shiraz University