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Grant: Alliance Grants

Concordia University

$117,500.00

IASO: Enhancing Surgical Precision with Advanced Camera Systems and Artificial Intelligence

FY 2024-25

Summary
The IASO project aims to improve the precision and reliability of robotic surgical systems by developing new technologies that use advanced cameras and artificial intelligence (AI). These systems are used in complex surgeries, such as joint replacements, where accuracy is critical to patient outcomes. The research will focus on creating more accurate methods for calibrating cameras, combining data from different types of sensors (like infrared and LiDAR), and using AI to build real-time 3D models of the surgical field. This project is important to healthcare professionals, medical device manufacturers, and patients, as it will enhance the performance of robotic systems used in surgery. By improving accuracy and reducing errors, the technology developed in IASO will make surgeries safer and more effective. Additionally, the new methods will help reduce the need for manual recalibration during surgeries, saving time and improving efficiency in operating rooms. The anticipated outcomes of this project will lead to significant economic and social benefits for Canada. The advancements will help Canadian companies, like THINK Surgical, remain competitive in the global medical technology market. The project will also create new jobs and provide training for students in cutting-edge fields like AI and computer vision. On a societal level, the improved technology will benefit Canadian patients by reducing surgical complications and recovery times, ultimately improving the quality of healthcare across the country.
Program
Alliance Grants
Location
Quebec, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
601810-2024
Name nom
Poullis, Charalambos C
Department département
Computer Science and Software Engineering
Organization id
70
Institution établissement
Concordia University
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2024
Award amount
117500
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
518
Area of application group en
Manufacturing processes and products
Area of application group fr
Procédés et produits industriels
Area of application en
Medical equipment and apparatus
Area of application fr
Appareils et instruments médicaux
Research subject code
2603
Research subject group en
Robotics
Research subject group fr
Robotique
Research subject en
Computer vision
Research subject fr
Vision artificielle
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
IASO: Enhancing Surgical Precision with Advanced Camera Systems and Artificial Intelligence
Keywords
3d reconstruction; artificial intelligence; computer-assisted surgical tools; computer vision; multi-sensor fusion; real-time calibration
Application summary
The IASO project aims to improve the precision and reliability of robotic surgical systems by developing new technologies that use advanced cameras and artificial intelligence (AI). These systems are used in complex surgeries, such as joint replacements, where accuracy is critical to patient outcomes. The research will focus on creating more accurate methods for calibrating cameras, combining data from different types of sensors (like infrared and LiDAR), and using AI to build real-time 3D models of the surgical field. This project is important to healthcare professionals, medical device manufacturers, and patients, as it will enhance the performance of robotic systems used in surgery. By improving accuracy and reducing errors, the technology developed in IASO will make surgeries safer and more effective. Additionally, the new methods will help reduce the need for manual recalibration during surgeries, saving time and improving efficiency in operating rooms. The anticipated outcomes of this project will lead to significant economic and social benefits for Canada. The advancements will help Canadian companies, like THINK Surgical, remain competitive in the global medical technology market. The project will also create new jobs and provide training for students in cutting-edge fields like AI and computer vision. On a societal level, the improved technology will benefit Canadian patients by reducing surgical complications and recovery times, ultimately improving the quality of healthcare across the country.