Publications
96
Citations
2,159
Est. group size
—
Recurring co-author estimate
Active years
12
Publishing since 2015
Fiona R. Kolbinger studies how artificial intelligence can support surgery and clinical care, with a focus on analyzing surgical videos (such as laparoscopic operations) to help doctors understand what is happening during procedures and make better decisions. The work also covers using machine learning to predict patient outcomes and surgical risks, and developing privacy-preserving and reliable ways to validate these AI tools in real-world hospital settings.
Publication activity has grown markedly over the last decade, rising from a few papers per year to roughly 16 per year over the past five years, with a peak of 28 in 2025.
Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026
- Artificial Intelligence–Based Analysis of Laparoscopic Imaging for Intraoperative Surgical Decision Support
Annual Review of Biomedical Engineering · 2026
- Privacy-Preserving Surgical Video Analysis with Swarm Learning — Results from a Multinational Appendectomy Cohort
NEJM AI · 2026
- Appendix300: Surgical video and patient metadata of 330 laparoscopic appendectomy cases from five institutions
OPARA · 2026
- Adaptive-CaRe: Adaptive Causal Regularization for Robust Outcome Prediction
Open MIND · 2026
- Adaptive-CaRe: Adaptive Causal Regularization for Robust Outcome Prediction
arXiv (Cornell University) · 2026
- Agentic AI for interdisciplinary clinical decision support in high-stakes care
JHEP Reports · 2026
- Appendix300: Surgical video and patient metadata of 330 laparoscopic appendectomy cases from five institutions
Scientific Data · 2026
- Vision-language models for automated video analysis and documentation in laparoscopic surgery: a proof-of-concept study
International Journal of Surgery · 2025
- Benchmarking Vision Capabilities of Large Language Models in Surgical Examination Questions
Journal of surgical education · 2025
- Artificial intelligence for surgical scene understanding: a systematic review and reporting quality meta-analysis
npj Digital Medicine · 2025
- Data Augmentation for Surgical Scene Segmentation with Anatomy-Aware Diffusion Models
2025
- Adaptive validation strategies for real-world clinical artificial intelligence
Nature Computational Science · 2025
- Translationale Herausforderungen und klinisches Potenzial von künstlicher Intelligenz in der minimal-invasiven Chirurgie
Die Chirurgie · 2025
- Histopathological evaluation of abdominal aortic aneurysms with deep learning
Diagnostic Pathology · 2025
- From marginal gains to clinical utility: machine learning–based percutaneous coronary intervention risk prediction models
European Heart Journal - Digital Health · 2025
- arXiv (Cornell University)×14
- medRxiv×9
- International Journal of Surgery×3
- Scientific Reports×3
- Communications Medicine×2
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 11, 2026.
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