SurgicalAI: Can we make Surgeries Autonomous
Lancet reports that a 5 billion world population has no access to a surgery service with which 1/3 of the death and disability could be saved. Recent technology has enabled fully autonomous surgery, however, fully autonomous surgical systems are facing many ethical and safety issues and are brining many challenges for regulation. SurgicalAi is an autonomous surgical planning system living in the cloud with the hope that autonomous technology could improve surgery. We present our thinkings of how to break the barrier of technology deployment and our work using AI to building a patient specific medical device which makes surgery safer, easy and more efficient.
Dr Fangde Liu is a Research Associate from Imperial College London, currently head of Imaging Informatics at the Data Science Institute. His work focuses on bringing autonomy technology to daily clinical practise such as surgical robots and pharmacovigilance system. He is architecture of the surgical navigation system of EDEN2020, which is the largest surgical robots project in the EU, and currently managing several medical imaging big data project for cardiology disease quantification and neurology pharmacoviglance. He is an expert on GPU and parallel computing and contribute many technology for medical imaging processing and surgery planning with gpu. SurgicalAI is a new startup provides autonomous surgery planning and patient specific medical devices design with GPU cloud.