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Trustworthy Robotic Assistant for Improved Minimally Invasive Surgery

Project
Minimally Invasive Surgery (MIS) and Robot-Assisted MIS play an important role in modern surgery, providing several advantages over traditional open surgery. MIS and RMIS procedures involve a team of several people in the operating room (OR), including an assistant surgeon, which is an expert surgeon, that supports the main surgeon but is active only for 30% of an operation. This is very inefficient from both an economic and a social perspective. The “Trustworthy Robotic Assistant for Improved Minimally Invasive Surgery” (TRAMIS) project aims at moving a step further towards the introduction into the OR of an autonomous robotic assistant that can support the surgeon during MIS and RMIS procedures. The TRAMIS robot assistant will rely on (1) advanced perception from semantic scene understanding, thanks to the design of trustworthy deep-learning algorithms for intra-operative image analysis (2) safe and efficient robot planning and control to allow the robot to adapt its behavior to the rapidly changing environment and move in a natural and safe way while maximizing the efficiency of its behavior. Surgeon’s (3) ergonomy assessment will further provide postural suggestions to the surgeon, while (4) performance assessment and errors detection will possibly make the robot adapt its behavior to improve ergonomy and mitigate errors. The TRAMIS robot assistant will be experimentally validated: (1) at the Advanced Training and Medical Simulation Centre of the University of Modena and Reggio Emilia in a Partial Nephrectomy (PN) procedure executed on a phantom by expert urologists (2) at the Orsi Academy, in a robot-assisted PN executed on a phantom where the surgeon will use the Da Vinci robot, with the assistance of the robotic assistant. The phantom used in the validation will reproduce the anatomical structures of the patient’s body. Although the project is focused on PN and Robotic-Assisted PN as use case, however the methodology and the developed system may also be exploited and used for other MIS and RMIS procedures. With TRAMIS, we expect to move the state of the art on RMIS forward by providing a trustworthy robot assistant, paving the way for a new generation of surgical robots to support surgeons by providing them with decision support and context awareness, with the ultimate goal of increasing patients’ safety.
  • Overview
  • Skills

Overview

Contributor

FERRAGUTI Federica   Scientific Manager  

Leading department

Department of Sciences and Method for Engineering   Principale  

Term type

FIS 2 - Fondo italiano per la scienza 2022-2023

Financier

Ministero dell'Università e della Ricerca
Funding Organization

Partner

Università degli Studi di MODENA e REGGIO EMILIA

Total Contribution (assigned) University (EUR)

1,329,763.6€

Date/time interval

March 6, 2025 - March 5, 2028

Project duration

36 months

Skills

Concepts (4)


LS7_14 - Digital medicine, e-medicine, medical applications of artificial intelligence - (2024)

LS7_2 - Medical technologies and tools (including genetic tools and biomarkers) for prevention, diagnosis, monitoring and treatment of diseases - (2024)

PE7_10 - Robotics - (2024)

Settore IINF-04/A - Automatica
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