Metadata
Title
Endosmart
Category
general
UUID
e91eaa15fd654cc2a6af1eb21546f5a3
Source URL
https://digitalhealth.tu-dresden.de/projects/next-generation-endoscopy/
Parent URL
https://digitalhealth.tu-dresden.de/career-education/students/clinicum-digitale/
Crawl Time
2026-03-18T08:01:02+00:00
Rendered Raw Markdown

Endosmart

Source: https://digitalhealth.tu-dresden.de/projects/next-generation-endoscopy/ Parent: https://digitalhealth.tu-dresden.de/career-education/students/clinicum-digitale/

Shaping the future of endoscopy

Endoscopy has transformed gastrointestinal disease diagnosis and treatment through minimally invasive procedures using flexible endoscopes and endoscopic capsules. Our interdisciplinary team of physicians, engineers, and computer scientists is advancing this field.

Our innovations include radar endoscopy for non-contact tissue visualization, intelligent sedation methods, and advanced AI for improved diagnosis and treatment. Additionally, we focus on teaching with new simulator- and software-based methods.

Our comprehensive approach covers diseases, treatment, endoscopy mechanics, image recognition, signal processing, tissue sampling, training simulators, and new technical procedures.

Funded by

Talk about Endoscopy!

Dr. Franz Brinkmann and Dipl.-Ing. Konrad Henkel explain the differences between current and future technology and the development of their prototype: a laparoscope with a deflectable tip.

Endosmart

Endoscopy has transformed GI diagnostics, but endoscope design has changed little in 40 years. This project develops advanced robotic tools with digital control and improved flexibility, enabling precise dissection and better training via simulators. Partners include University Hospital Dresden, TU Dresden, and industry collaborators, funded by EKFZ, SAB, and Volkswagen Foundation.

enDDo.AI

The enDDo.AI project uses advanced AI technologies, including foundation models, to analyze video data from various endoscopic procedures. It aims to develop tools that reduce physician workload, detect complications early, and improve patient outcomes. Current research focuses on video capsule endoscopy and ERCP to enhance diagnostic accuracy, support decisions, and streamline workflows.

MultiMOD Fibre Endoscopy

As part of the ESF Plus project MultiMOD, researchers from the Department of Gastroenterology at University Hospital Dresden and the Chair of Microsystems at TU Dresden are developing next-generation fiber-optic endoscopes. The focus is on extreme functional integration and miniaturization, combining tactile and kinaesthetic sensors, AI-based tip actuation, autonomous navigation, and chemical sensing for advanced tissue analysis.

Autonomous Endoscopy Training

Endoscopy training is a time-consuming and non-standardized process. Unlike laparoscopic surgery, there are no autonomous training courses available for prospective endoscopists to train independently. Therefore, we aim to develop independent endoscopy training courses with the help of software, allowing for independent practice.

Radar Scope

Navigation challenges in endoscopy can lead to complications. This project explores radar-based imaging as an alternative to optical methods, aiming to improve navigation, reduce injury risk, and enhance outcomes. It is a collaboration between University Hospital Dresden, TU Dresden’s High-Frequency Technology Chair, and Vmed, focused on advancing transmural imaging.

Active Intelligent Capsule Endoscopy

As part of BMFTR Cluster4Future SEMECO, partners are developing an intelligent capsule endoscope with adaptive anchoring, biopsy capabilities, and a broadband chemical sensor for in vivo microbiome mapping, involving University Hospital Dresden, TU Dresden, Renesas Dresden, and Ovesco.

Click Me

Sedation AI

The aim of SedAi is to use objective vital parameters to enable automated sedation monitoring and reduce complications during endoscopic procedures. Vital signs are recorded throughout. The project involves institutions across Germany, including Dresden, under the leadership of University Hospital Halle, to automate and improve sedation in endoscopy.

Clinical Research

Our research focuses on advanced endoscopic procedures such as ERCP and EUS-guided interventions. We have studied bleeding risks in necrosis drainage using lumen-apposing metal stents, bile duct stent migration, and material factors affecting long-term outcomes. Current projects explore EUS-guided biopsies and PEG techniques.

Publications

2026

Werner, J., Bause, O., Oexle, J., Le Floch, M., Brinkmann, F., Hampe, J., & Bringmann, O. (2026). Seeing More with Less: Video Capsule Endoscopy with Multi-task Learning. In: Wu, S., Shabestari, B., & Xing, L. (Eds.), Applications of Medical Artificial Intelligence (Lecture Notes in Computer Science, vol. 16206), Springer, doi: 10.1007/978-3-032-09569-5_2

Werner, J., Oexle, J., Bause, O., Le Floch, M., Brinkmann, F., Tolle, H., Hampe, J., & Bringmann, O. (2026). Reliable mislabel detection for video capsule endoscopy data. arXiv, doi: 10.48550/arXiv.2602.06938

2025

Le Floch, M., Werner, J., McIntyre, L., Wolf, F., Steinhäuser, J., Hampe, J., Langanke, R., Kirk, S., Stopp, C., Geissler, M. E., Brinkmann, F., & Herzog, N. (2025). Advancing video capsule endoscopy with edge AI: A public multi-center capsule dataset with multi-label annotations. Endoscopy, doi: 10.1055/s-0045-1805505

Werner, J., Gerum, C., Nick, J., Le Floch, M., Brinkmann, F., Hampe, J., & Bringmann, O. (2025). Enhanced anomaly detection for capsule endoscopy using ensemble learning strategies. 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), doi: 10.1109/EMBC58623.2025.11253055

Le Floch, M., Wolf, F., McIntyre, L., Weinert, C., Palm, A., Volk, K., Herzog, P., Kirk, S. H., Steinhäuser, J. L., Stopp, C., Geissler, M. E., Herzog, M., Sulk, S., Kather, J. N., Meining, A., Hann, A., Palm, S., Hampe, J., Herzog, N., & Brinkmann, F. (2025). Galar – a large multi‑label video capsule endoscopy dataset. Scientific Data, doi: 10.1038/s41597-025-05112-7

Pietsch, M., Henkel, K., Körbitz, R., Hüttner, R., Uhlig, K., Bruk, S., Fischer, M., Hampe, J., Richter, A., & Brinkmann, F. (2025). A deflectable video camera system for laparoscopic surgery based on shape memory alloy actuators. Scientific Reports, doi: 10.1038/s41598-025-95898-8

Steinhäuser, J. L., Berzin, T. M., Geissler, M. E., Weber, C., Herzog, N., Le Floch, M., Brückner, S., Hampe, J., Elamin, S., Troya, J., Hann, A., & Brinkmann, F. (2025). Implementing Endoscopy Video Recording in Routine Clinical Practice: Strategies from Three Tertiary Care Centers. Endoscopy International Open, doi: 10.1055/a-2592-3338

Steinhäuser, J., Rapprich, A., Kolbig, A., Stopp, C., Langanke, R., Kirk, S., Le Floch, M., Brückner, S., Hampe, J., & Brinkmann, F. (2025). The Dresden Endoscopy Dataset for Endoscopic Retrograde Cholangiopancreatography. Endoscopy, doi: 10.1055/s-0045-1805573

Le Floch, M., Werner, J., McIntyre, L., Wolf, F., Steinhäuser, J., Hampe, J., Langanke, R., Kirk, S., Stopp, C., Geissler, M. E., Brinkmann, F., & Herzog, N. (2025). Advancing Video Capsule Endoscopy with Edge AI: A Public Multi-Center Capsule Dataset with Multi-Label Annotations. Endoscopy, doi: 10.1055/s-0045-1805505

Langanke, R., Huettner, R., Richter, A., Kirk, S., Geißler, E., Steinhäuser, J., Le Floch, M., Stopp, C., Brückner, S., Hampe, J., & Brinkmann, F. (2025). LearnEndo: A Simulator for Autonomous Endoscopy Training with Software-Based Supervision and Feedback. Endoscopy, doi: 10.1055/s-0045-1806537

2024

Fischer, M., Santoro, L. A., Bruk, S., Henkel, K., Hüttner, R., Körbitz, R., Brinkmann, F., Spickenheuer, A., Kühnert, I., Hampe, J., & Uhlig, K. (2024). Friction testing of tube-guided electrically heated Nitinol shape-memory alloy wires. Tribology International, doi: 10.1016/j.triboint.2023.109161

Uhlig, K., Bruk, S., Fischer, M., Henkel, K., Brinkmann, F., Körbitz, R., Hüttner, R., Pietsch, M., Hempel, P., Spickenheuer, A., Stommel, M., Richter, A., & Hampe, J. (2024). Design, simulation and experimental analysis of a monolithic bending section for enhanced maneuverability of single use laparoscopic devices. Scientific Reports, doi: 10.1038/s41598-024-53914-3

Brinkmann, F., Uhlig, K., Sambale, A., Stommel, M., Berning, M., Babatz, J., Sulk, S., Krasz, S., Schmelz, R., Brückner, S., Hampe, J., & Zeissig, S. (2024). Anchoring fins of fully covered self-expandable metal stents affect pull-out force and stent migration. Gastrointestinal Endoscopy, doi: 10.1016/j.gie.2023.10.036

Brinkmann, F, Uhlig K, Sambale A, Stommel M, Berning M, Babatz J, Sulk S, Krasz S, Schmelz R, & Brückner S. (2023) Biomechanical Pull-out Force of Fully Covered Self-Expanding Metal Stents Predicts Stent Migration in Distal Biliary Stenoses.Endoscopy, doi: 10.1055/s-0043-1765027

2023

Dorausch, E. M. G., Swist, D., Herzog, M., Statz, C., Kober, J., Kühnöl, C., Trittler, T., Martens, N., Brinkmann, F., Hampe, J., & Fettweis, G. (2023). Adoption and evaluation of a multistatic Fourier-based synthetic aperture radar method for ultrasound imaging. Journal of Medical Imaging, doi: 10.1117/12.2653898

2022

Brinkmann, F., Henkel, K., Körbitz, R., Hüttner, R., Uhlig, K., Fischer, M., Alexander, M. H. D., Bodo, M. S. D., Sebastian, M. H. D., Clemens, M. S. D., Jochen, M. H. D., & Richter, A. (2022). Entwicklung einer universellen Aktorplattform aus Formgedächtnislegierungen für Laparoskopie und Endoskopie. Zeitschrift für Gastroenterologie, doi: 10.1055/s-0042-1755113

Brinkmann, F., Hüttner, R., Mehner, P. J., Henkel, K., Paschew, G., Herzog, M., Martens, N., Richter, A., Hinz, S., Groß, J., Schafmayer, C., Hampe, J., Hendricks, A., & Schwandner, F. (2022). Temperature profile and residual heat of monopolar laparoscopic and endoscopic dissection instruments. Surgical Endoscopy, doi: 10.1007/s00464-021-08804-4

2021

Brinkmann, F., Hampe, J., & Zeissig, S. (2021). Thoracic Pain and Pericardial Effusion in a Patient With Chronic Pancreatitis. Gastroenterology, doi: 10.1053/j.gastro.2020.10.050

Research Team

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Disclaimer

Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the granting authority nor can the granting authority be held responsible for them.