Predictive modelling of vascular surgery trends using machine learning: a comparative study of Irish public and private tertiary referral centres
Our model predicts a shortage of the vascular surgery workforce over the next two decades. We can speculate that addressing future needs in vascular surgery requires either training more specialists or increasing the efficiency and wRUV through strategic planning and integration of AI/ML systems to ensure adequate compensation and the sustainability of the workforce. By focusing on these areas, we can navigate the evolving landscape of vascular surgery and continue providing high-quality patient care.
Authors
- Yogesh Acharya (ORCID: https://orcid.org/0000-0003-1829-5911)
- Sherif Sayed Ali Sultan
- Omnia Zayed
- Osama I.I. Soliman (ORCID: https://orcid.org/0000-0003-0758-3539)
- Mohamed S. Sultan
Institutions
- Royal College of Surgeons in Ireland (IE)
- Ollscoil na Gaillimhe – University of Galway (IE)
- Letterkenny University Hospital (IE)
- University Hospital Galway (IE)
- EuroQol Research Foundation (NL)
- Mater Private Hospital (AU)
- Galway Clinic (IE)
Publication Details
- Journal
- Frontiers in Surgery
- Published
- 2026-01-08
- DOI
- https://doi.org/10.3389/fsurg.2025.1733205
- Primary Topic
- Aortic aneurysm repair treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00