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The Hamlyn Symposium on Medical Robotics 2026
June 23 - June 26
The annual Hamlyn Symposium on Medical Robotics is the flagship event of the Hamlyn Centre for Robotic Surgery at Imperial College London. It serves as a global forum for networking, collaboration, and the exchange of pioneering research and innovations in the field of medical robotics. Bringing together a vibrant international community of surgeons, engineers, scientists, and industry leaders, the Symposium provides a unique platform to explore the latest developments shaping the future of robotic and digital surgery.
Join CC at the event where we will demonstrate advancing surgical AI with Open-H-Embodiment.
Cambridge Consultants will also moderate a panel discussion.
Title: The Prompted Surgeon
Sub title: The role and risks of AI in the future of surgical robotics
日付： Thursday 25 June 2026
時間： 1:30 – 2:30
Location: The Lowther Room
モデレーター： Alex Maret, Leader of Robotic Technology, Cambridge Consultants
Panel:
- Joe Corrigan, Chief Technology Officer, Cambridge Consultants
- Professor Naeem Soomro – Royal College of Surgeons
- Mustafa Toloui – Product Lead Healthcare Robotics, NVIDIA
- Rich Mahoney, VP Research, Intuitive
チーム紹介
ジョー コリガン
Joe is Head of Technology at Cambridge Consultants and has grown the AI capability to become a world leading AI consultancy with the rigour to bring multiple class 2/3 products to market.
アレックス マレー
As the leader of robotic technology at Cambridge Consultants, Alex guides teams in the development of groundbreaking products to shape the future of healthcare. His work is focused on identifying high value opportunities for clients and creating novel robotic solutions for an increasingly digital future.
Oliver Sowerby
Oliver is Vice President of MedTech Innovation at Cambridge Consultants. He is a Chartered Engineer with extensive experience in R&D and a seasoned medical device developer having led the technical development of reusable surgical instruments, laparoscopic tools, otoscopes, chemical reactors and fully-automated machinery.
Joe Smallman
Joe specialises in developing real-time AI solutions within the fields of machine vision and robotics. In recent years he has focussed on translating ground-breaking advances in reinforcement learning from academia to a broad range of industrial robotic applications.