معرفی
Roxanne Gal is an Assistant Professor at Utrecht University, specializing in AI-driven imaging and image-guided interventions within the Cancer Strategic Program. Her work focuses on accelerating evidence-based implementation of oncological innovations through patient-centered evaluations.
- Key affiliations: Evaluation of Imaging and Image-Guided Interventions research group
- Expertise: Bridging AI technology with clinical oncology applications
Research Interests:
Gal's research addresses the rapid innovation and narrow evaluation windows in oncological imaging. She develops methodologies to extract clinical insights from patient data, particularly in spinal metastases treatment outcomes and endocrine therapy side effects. Her work integrates machine learning with real-world clinical practice to improve decision-making frameworks.
- AI-driven imaging in oncology
- Clinical implementation science
- Quality of life assessments
- Survival prediction models
Publications & Collaborations:
Recent work in The Spine Journal and Global Epidemiology examines predictive modeling for spinal metastases, radiotherapy effectiveness, and methodological guidance for clinical trials. Collaborators include experts in oncology, radiology, and surgical disciplines.
Contact: rgal@umcutrecht.nl
