iiinova — where your digital self keeps evolving

Fiona Kolbinger @fionakolbinger.bsky.social · 03/08/2026

📝 The EU does not have one framework for early-stage #medicaldevice clinical trials, it has 27. Check out our recent paper in @natbiomedeng.nature.com, in which we critically review EU regulations and call for harmonization: rdcu.be/fw2pk #MDR #digitalhealth #medicalAI

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Fiona Kolbinger @fionakolbinger.bsky.social · 31/07/2026

🇪🇺 Big news: This fall, my lab will transition to @tudresden.bsky.social. Our affiliations will be with the Department of Surgery at the university hospital and @ekfzdigital.bsky.social, and we will continue our mission to rigorously develop, benchmark, and clinically evaluate #surgicalAI tools.

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Reposted by Fiona Kolbinger

NEJM AI @ai.nejm.org · 16/07/2026

A new study introduces a decentralized, privacy-preserving pipeline that combines weakly supervised deep learning with Swarm Learning to predict patient-level labels from laparoscopic appendectomy videos. Learn more about this approach: nejm.ai/44Ap0V9

A digital illustration showing a medical diagram of human organs overlaid with surgical tools. At the bottom, there's a text box containing the article title: "Privacy-Preserving Surgical Video Analysis with Swarm Learning — Results from a Multinational Appendectomy Cohort" by O.L. Saldanha and Others.

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Fiona Kolbinger @fionakolbinger.bsky.social · 13/07/2026

New paper in @ai.nejm.org: Privacy-Preserving Surgical Video Analysis with Swarm Learning — Results from a Multinational Appendectomy Cohort ai.nejm.org/doi/10.1056/... 🔭 Prediction of patient-level labels from video 🏋 Centralized ≈ decentralized > local model performance 🤝 Public data and code

ai.nejm.org

Privacy-Preserving Surgical Video Analysis with Swarm Learning — Results from a Multinational Appendectomy Cohort

Progress in artificial intelligence (AI)–based analysis of surgical videos has been constrained by reliance on manual frame-level annotations rather than patient-level outcomes. In addition, concer...

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Fiona Kolbinger @fionakolbinger.bsky.social · 24/06/2026

🔭New public dataset for #SurgicalAI: Appendix300 www.nature.com/articles/s41... 🔍 300+ appendectomy cases from 5 centers 💿 Videos and rich patient metadata 🏷️ High-quality patient-level annotations of laparoscopic and histopathologic disease stage #surgicaldatascience #laparoscopy

nature.com

Appendix300: Surgical video and patient metadata of 330 laparoscopic appendectomy cases from five institutions - Scientific Data

Scientific Data - Appendix300: Surgical video and patient metadata of 330 laparoscopic appendectomy cases from five institutions

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Fiona Kolbinger @fionakolbinger.bsky.social · 17/11/2025

Now out in @natcomputsci.nature.com: "Adaptive validation strategies for real-world clinical artificial intelligence" It was a pleasure working on this piece with @jnkt.bsky.social, excited to finally see it published! #medicalAI #clinicalAI #digitalhealth #translationalresearch

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