Description
Open-source software libraries for surgical, biomedical, and artificial intelligence technologies have made remarkable progress, fuelled by rapid innovation and their ability to quickly adapt to emerging technologies. This success has been made possible by the growth of partnerships between academia, healthcare centres, and industry, alongside the continuous release of open-source software, algorithms, models, datasets, and comprehensive documentation. Furthermore, the global accessibility of open-source initiatives ensures that people worldwide can benefit from cutting-edge advancements in healthcare, promoting tools that are more transparent, equitable, and accessible to all. By fostering the development of open-source tools, we have witnessed the empowerment of students, researchers, engineers, and clinicians to collaborate, innovate, and drive meaningful improvements in healthcare outcomes.
However, the rapid advancement of research-driven technologies, combined with the need to balance innovation with regulation and the challenges of clinical translation such as costs and long-term timelines, introduces several new challenges: 1) ensuring fast prototyping and validation of new algorithms, 2) ensuring the standardisation of data quality and the protection of data privacy, 3) dealing with fragmented source code for heterogenous systems, 4) enabling high performance of medical image computing and visualisation in the operating room, and 5) using the latest generation of software and hardware.
We believe that open-source software libraries hold great potential to transform healthcare by evolving into sustainable, long-term-supported tools that are well-suited for clinical applications. This workshop aims to bring together engineers, researchers, and clinicians from academia and industry to share their innovative work through keynote talks, technical talks, spotlight presentations, abstract papers and poster sessions, accompanied by awards. This workshop offers a valuable opportunity to discuss progress and challenges, explore emerging trends, and collaboratively build a strong and enduring community dedicated to advancing healthcare solutions.
Programme
08:30 | Registration & Coffee | |
09:00 | Welcome | Organising committee |
09:10 | Addressing The Translation of Medical AI From Research to Clinical Practice | Stephen Aylward, NVIDIA |
09:50 | From Prototype to Product: Accelerating Clinical Translation with High-Quality Open-Source Software and Engineering Practices | Andinet Enquobahrie, Medical Computing Kitware, Inc. |
10:30 | Coffee Break | |
11:00 | Challenges of open-source in biomedical engineering | Diana Oliveira, University College London |
11:20 | Building a Community-First KUKA LBR Driver: Architecture, Challenges, and Roadmap | Martin Huber, King’s College London |
11:40 | From scanner hardware to imaging software: Redefining MRI Accessibility through Open Source Solutions | Christoph Kolbitsch, Physikalisch-Technische Bundesanstalt (PTB) |
12:00 | A Deep Dive into Artificial Intelligence for Endoscopy | Rawen Kader, University College London |
12:20 | Spotlights for Posters | |
12:30 | Lunch Break | |
13:30 | Panel discussion | Ahmed Al-Hindawi (UCL), Jennifer Jiang-Kell (Healthchain), Thomas Wood (Harmony Data), Philip Cosgriff (Consultant clinical scientist), Zachary Baum (Odin Visual; REMOTE), Rachael Rodell, Quality Manager of Medical Devices at University College London Shashank Sharma (CEO of Roboss Pte Ltd in Singapore; REMOTE) |
14:15 | ARRUS an Open Source Framework for Software-defined Ultrasound | Marcin Lewandowski, CEO of us4us Ltd |
14:35 | How Debian Med can help you, and vice versa | Pierre Gruet, Debian |
14:55 | Eye2Gene with opensource Title: Open Source in Ophthalmology: the Open Sight Initiative | William Woof, eye2gene |
15:15 | Coffee Break | |
15:40 | Regulatory pathways for medical devices when using open source | Gernot Kronreif, ACMIC |
16:00 | Why do we need AI for autonomous surgical robots? | Mikael Brudfors, NVIDIA |
16:20 | Global Harmonisation of AI-Enabled Software as a Medical Device (SaMD) | Sandeep Reddy, Queensland University of Technology |
16:40 | Regulatory Considerations for Medical AI in the U.S | Eshan Dahal, Clinical and Regulatory Affairs Manager at SandboxAQ |
17:00 | Poster awards and workshop closure | |
17:15 | Workshop End |
Call for posters
Calling all attendees to share their insights and contributions through poster presentations focusing on Healing Through Collaboration: Open-Source Software in Surgical, Biomedical and AI Technologies workshop. Your innovative work is welcomed and encouraged. We are particularly looking forward to posters, followed by conference proceedings in open-review, related but not limited to the following topics:
- 💻 Open-source software/hardware libraries and frameworks for surgical and biomedical sciences
- 🤖 Open-source AI solutions for surgical and biomedical sciences
- 📝 Open-source software/hardware regulations in clinical sciences
- 🧑🔧 Maintaining and supporting surgical and biomedical software/hardware
- 🧑🔬 Incorporating open-source software/hardware in clinical trials
- 💰Open-source software/hardware solutions for low to middle-income countries
- 🧪 Case studies showcasing novel applications and combinations of existing open-source software and hardware
- 📄 Project summaries, 🛠️ methodological approaches, 🔍 research findings, and 🌐 initiatives related to Open-Source Software for Surgical Technologies
We are also thrilled to invite all attendees to participate in sharing their insights and contributions through poster presentations, spotlighting Open-Source Software for Surgical Technologies. We will be recognising excellence with awards for the best poster and runner-up submissions. Further details are in openreview and important dates:
- Abstract submission deadline: 12th June 2025 12:00PM UTC-0
- Notification of acceptance: 13th June 2025 12:00PM UTC-0
- Poster submission deadline: 23rd June 2025 12:00PM UTC-0
- Workshop: 27th June 2025
Abstract submission
Please use the following templates to prepare your abstract and OpenReview submission. We encourage open-source participation using open-review; however, we also want to ensure that authors have the option for private submissions by sending abstracts to m.xochicale@ucl.ac.uk, s.chopra@ucl.ac.uk.
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See word and latex templates here
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You can also make use of our overleaf templates which anyone with this link can view this project
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Submission link: https://openreview.net/group?id=hamlynsymposium.org/Hamlyn_Symposium/2025/Workshop/OSS_in_SurgTech
Poster submission
We will provide further details after your abstract is accepted. Posters can either be submitted to Zenodo for open access or sent privately by email to m.xochicale@ucl.ac.uk, s.chopra@ucl.ac.uk.
Questions
If you have any questions, please contact our poster chairs by emailing m.xochicale@ucl.ac.uk, s.chopra@ucl.ac.uk.
Learning Outcomes
Participants in this workshop will have the opportunity to learn, discuss, and connect with leading experts in open-source platforms for surgical, biomedical, and AI technologies. The key learning outcomes include:
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Engaging discussions on emerging trends of surgical, biomedical, and AI technologies, focusing on how to rapidly adopt cutting-edge advancements (e.g., artificial intelligence, augmented reality, high-performance computing) while ensuring compliance with relevant quality standards.
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Developing and maintaining open-source software interfaces while adhering to best practices in software engineering to drive clinical impact (e.g., sustainability, community building, securing funding, and more).
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Understanding of good practices for clinical translation including solutions to integrate preoperative and intraoperative data (e.g., tracking systems and clinical hardware) and protocols to handle clinical data for computer assisted surgical technologies (e.g. ensuring patient privacy).
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Understanding of strategies for commercialization, licensing, and securing long-term funding to support the development and sustainability of open-source software libraries and projects.
Building a Vibrant Open-Source Community Together
Help us continue building a vibrant community by sharing workshop materials via our GitHub repositories (https://github.com/oss-for-surg-med-ai-tech), including the website, repo, white-paper, etc.
Everyone is welcome to join our Discord server (https://discord.gg/P6wB44Ftft) for networking, discussions, and event updates. Recorded talks will also be available on the symposium’s YouTube channel.
Organisers
- Miguel Xochicale, University College London
- Reza Haqshenas, University College London
- Ruaridh Gollifer, University College London
- Saransh Chopra, University College London
- Laura Connollly, Queen’s University, Canada
- Junichi Tokuda, Brigham and Women’s Hospital and Harvard Medical School
This workshop is accredited for 6 CPD points.