Machine Learning-Driven Prediction of Gamma Knife Treatment Parameters and Outcomes
Introduction: Gamma Knife Radiosurgery offers a non-invasive treatment option to treating brain metastases often in surgically inoperable regions. However, determining optimal dosing regimens remains a clinical challenge due to patient outcome variability.
Authors
- David Schlesinger
- M Arif Rahman (ORCID: https://orcid.org/0009-0006-3691-7605)
- Jason P. Sheehan (ORCID: https://orcid.org/0000-0002-4763-7346)
- Georgios Mantziaris (ORCID: https://orcid.org/0000-0002-3389-8836)
- Isaac Levy
- Adam P. Tashman
- David Penberthy
- Tomasz Górecki (ORCID: https://orcid.org/0000-0002-9969-5257)
- Belén M. Fernández de Castro
Institutions
- University of Virginia (US)
Publication Details
- Journal
- AI in Precision Oncology
- Published
- 2025-11-21
- DOI
- https://doi.org/10.1177/2993091x251392898
- Primary Topic
- Brain Metastases and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00