🧠 The BONS-AI Consortium

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Partner institutions of the BONS-AI Consortium.

--- ## 🌍 About Us The **BONS-AI Consortium** is an international research collaboration focused on advancing artificial intelligence in gastrointestinal endoscopy. The consortium consists of **15 tertiary referral centers** specializing in the management of **early Barrett’s neoplasia**, coordinated by: - **Amsterdam University Medical Center (AUMC)** - **Eindhoven University of Technology (TU/e)** --- ## 📚 Learn More Highlighted publications: - **GastroNet-5M: A Multicenter Dataset for Developing Foundation Models in Gastrointestinal Endoscopy** *Gastroenterology (2025)* – [https://doi.org/10.1053/j.gastro.2025.07.030](https://doi.org/10.1053/j.gastro.2025.07.030) - **Foundation Models in Gastrointestinal Endoscopic AI: Impact of Architecture, Pre-training Approach and Data Efficiency** *Medical Image Analysis (2024)* – [https://doi.org/10.1016/j.media.2024.103298](https://doi.org/10.1016/j.media.2024.103298) - **A deep learning system for detection of early Barrett's neoplasia: a model development and validation study** *The Lancet Digital Health (2023)* – [https://doi.org/10.1016/S2589-7500(23)00199-1](https://doi.org/10.1016/S2589-7500(23)00199-1) - **Deep-learning system detects neoplasia in patients with Barrett’s esophagus with high accuracy** *Gastroenterology (2019)* – [https://doi.org/10.1053/j.gastro.2019.11.030](https://doi.org/10.1053/j.gastro.2019.11.030) Latest publications: - **Evaluation of an improved computer-aided detection system for Barrett’s neoplasia in real-world imaging conditions** *Endoscopy (2025)* – [https://doi.org/10.1055/a-2642-7584](https://doi.org/10.1055/a-2642-7584) - **The development and ex vivo evaluation of a computer-aided quality control system for Barrett’s esophagus endoscopy** *Endoscopy (2025)* – [https://doi.org/10.1055/a-2537-3510](https://doi.org/10.1055/a-2537-3510) - **Impact of standard enhancement settings of endoscopy systems on performance of endoscopic artificial intelligence systems** *Endoscopy (2025)* – [https://doi.org/10.1055/a-2530-1845](https://doi.org/10.1055/a-2530-1845) - **Challenges in Implementing Endoscopic Artificial Intelligence: The Impact of Real-World Imaging Conditions on Barrett’s Neoplasia Detection** *United European Gastroenterology Journal (2025)* – [https://doi.org/10.1002/ueg2.12760](https://doi.org/10.1002/ueg2.12760) - **Will Transformers change gastrointestinal endoscopic image analysis? A comparative analysis between CNNs and Transformers, in terms of performance, robustness and generalization** *Medical Image Analysis (2025)* – [https://doi.org/10.1016/j.media.2024.103348](https://doi.org/10.1016/j.media.2024.103348) - **Robustness evaluation of deep neural networks for endoscopic image analysis: Insights and strategies** *Medical Image Analysis (2024)* – [https://doi.org/10.1016/j.media.2024.103157](https://doi.org/10.1016/j.media.2024.103157)

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