Artificial intelligence to learn robotic surgery – Medicine

(ANSA) – PISA, July 05 – A simulator based on virtual reality to analyze and facilitate the training of future surgeons who will work with the robot, thanks to artificial intelligence. It is the heart of an international study, the first of its kind, that was conducted at the University of Pisa and included a research group led by engineer Andrea Muglia from the Department of Transformational Research and New Technologies in Medicine and Surgery, in collaboration with Professor Sir Alfred Kocheri of the University of Dundee (UK).

The study explains an observation that required a group of medical students to perform specific exercises in a robotic surgery simulator until they reached the desired level of proficiency. Then, several AI models were developed across software to predict the time and number of attempts for each exercise in which participants would complete their training. Using a specific configuration (called group learning) in which several neural network models were assembled, it was possible to obtain a higher accuracy (up to 95% in some cases) than any other machine learning model. The results of the study, in which the general surgery team of Professor Luca Morelli was also involved, were published in Laparoscopic Surgery, one of the most authoritative journals on surgery. The study carried out at the University of Pisa represents the highest international history of the case in the sector and is based on Andrea Muglia’s experience in simulation in robotic surgery, which began in 2009 at the EndoCas Center, under the supervision of Professor Mauro Ferrari, who saw it as the first in Italy to use simulators A hypothetical robotic surgery system named Da Vinci. (Dealing).

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