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Preoperative AI-based assessment of surgical outcomes enables individualised risk-informed surgical planning and improved patient outcomes. I'm delighted to share our article, now online Scientific Reports: nature.com/articles/s4159…. #SurgicalDataScience Nationales Centrum für Tumorerkrankungen Dresden @Medizin_TUD

In this work, we propose a preoperative risk signature based on CT scans and clinical data for the prediction of clinically relevant postoperative pancreatic fistula. The predictions of the proposed risk signature correlates strongly with the intraoperative clinical gold standard

Are you working on surgical phase recognition? Our report on evaluation metrics for phase recognition could be interesting for you! (1/2) ArXiv: arxiv.org/abs/2305.13961

IT’S HERE! Our Safe Cholecystectomy Mobile Game App 🤩 ✅Looking for a fun surgery game to play on your phone between cases? ✅Free on Android and Apple (link below) ✅Prizes for top scoring residents (surgeons get bragging rights) ✅Lots of scenarios with immediate feedback

Computer erkennt Organe im Bauchraum auf Expertenniveau wie eine Studie von Forschenden von #NCTUCC @Medizin_TUD Tactile Internet Else Kröner Fresenius Center for Digital Health TU Dresden zeigt ➡️ nct-dresden.de/das-nctucc-dre… @dkfz HZDR @[email protected]

💬 NEW PERSPECTIVE Communications Medicine - Clusmann et al. outline the potential future landscape of large language models in medicine | Jan Clusmann Fiona Kolbinger Hannah Sophie Muti, MD Jakob Nikolas Kather #LLM nature.com/articles/s4385…

If you are curious about extreme cycling, this is a must read. Thanks to an amazing team - proud to call them close friends (pgauckler @JanaKesenheimer Fiona Kolbinger) - and a lot of resilience, this has finally been published. Insights into homeostasis during exercise!

In this study, Fiona Kolbinger et al. compare the pancreas segmentation performance of algorithms to human participants, concluding that machine learning models could provide relevant assistance and reduce surgical risks in minimally invasive surgery. 🔗 ow.ly/81im50Q4AtH

Training early detection of surgical complications through case-based serious gaming 🔍 Check out our new paper JMIR Serious Games by the amazing Sophie-Caroline Schwarzkopf 👩‍🎓 et al.: games.jmir.org/2023/1/e44708 @Medizin_TUD TU Dresden #SurgicalEducation #SeriousGaming

Exercise-Induced #FluidRetention, Cardiac Volume Overload and #PeripheralEdema in Ultra-Distance #Cyclists #VisualAbstract by Carlo Trinidad kireports.org/article/S2468-… pgauckler @JanaKesenheimer Fiona Kolbinger Andreas Kronbichler

⭐️ NEW RESEARCH Communications Medicine – Kolbinger, Veldhuizen et al. systematically review reporting guidelines for #AI methods in clinical research | Fiona Kolbinger Gregory Patrick Veldhuizen Daniel Truhn Jakob Nikolas Kather katherlab nature.com/articles/s4385…

🌟 Save the date! JUN 28 - FREE webinar "AI in Residency Training" with Dan Hashimoto, MD MS FACS Fiona Kolbinger Dimitrios Stefanidis Julian Varas Find your local time here: aischannel.com/live/ai-in-res… Association for Surgical Education Johnson & Johnson MedTech #IamAIS #some4surgery #AIinMedicine #FutureDoctors

🌟Happening NOW #ASCOBT24 Day2⃣ 🔥Fighting Cancer with Robots and Lasers 🎯Automated Segmentation for Imaging and Education. Great overview of the current status and challenges of implementing into clinics. 🎙️Fiona Kolbinger OncoAlert ASCO 日本臨床腫瘍学会（JSMO） conferences.asco.org/breakthrough/

Exciting opportunity to get early access to a new multicentric dataset of laparoscopic appendectomies and tackle a new use case in surgical data science. Looking forward to co-hosting this challenge on decentralized learning in surgical video analysis at MICCAI 2024!

🎉 Congrats to Fiona Kolbinger of Purdue BME on being named to Forbes 30 Under 30 Science 2025! Her groundbreaking AI tools are shaping the future of surgery with real-time decision support & visualization. 👏 Kolbinger is also a researcher at the Indiana University Melvin and