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Alejandro Granados is a Lecturer in Surgical Data Science at King's College London. He holds a PhD in Simulation Modelling Medicine Surgery from Imperial College London and has taken post-doctoral positions at Imperial College London, University College London, and King's College London. His research expertise spans a variety of multidisciplinary biomedical engineering-related projects focused on improving surgical data from a predictive and prescriptive perspective. His main research interests include leveraging artificial intelligence for surgical phase action recognition, utilizing multiple modalities during surgical interventions, and predicting intra-operative events to reduce surgical complications. Alejandro has contributed to numerous high-impact publications and has been involved in innovative projects leading to patents and the development of software tools that are in use at the National Hospital for Neurology and Neurosurgery. He is also an active teacher, leading several courses such as Applied Medical Robotics and Advanced Machine Learning in the Department of Surgical & Interventional Engineering.
King's College London • London, UK
Lecturer in Surgical Data Science, focusing on the application of AI in surgical environments.
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