Can We make Surgery Autonomous?

On the 10th of November Dr Fangde Liu Research associate at the Data Science Institute, Imperial College London and Founder of SurgicalAI – a technology startup using machine learning technology to improve surgical accuracy and efficiency presented the slides below at our meet up.

He discuss how deep learning technology is used in surgical robots originally for neurosurgery and later adapted to orthopaedics. We discussed the opportunities and issues of applying deep learning and autonomous technology for surgical application. Love to hear your thoughts in the comments.

Dr. Liu has a multidisciplinary background. Originally trained as Robotic Engineer, he spent a summer at ABB robotics developing software making robots doing machining and assembly jobs autonomously, then he come to UK for a PhD in Computer Graphics and Movie Visual Effects, working on software system to make virtual characters walk like humans without any animator input.
Four years ago, he joined the Mechatronics in Medicine lab at Imperial College London, working on minimally invasive surgical robots for neurosurgery, he is the designer of the image based guidance and surgery planning system of the STING robot (FP7), which later become the EDEN2020 project, the biggest surgical robots project in Europe.

[slideshare id=68988621&doc=surgicalautonomy-161115094613] Published in

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