Grant: Canada Research Chairs
Queen's University
$100,000.00
Computer-Assisted Surgery
EF 2024-25
Résumé
This research program addresses a global challenge. With the swaying progress in novel digital technologies, particularly in artificial intelligence, data analytics and cloud connectivity, “digital health” is on the cusp of transforming access to healthcare. The G7 governments in 2023 declared digital technologies essential to “support achieving and promoting more efficient, inclusive, resilient, equitable, and sustainable universal health coverage, through global cooperation and through equitable and inclusive partnerships”. Medical imaging, a fundamental tool in digital medicine, has been largely unavailable in low-income countries. Emerging low-cost point-of-care ultrasound (POCUS) imaging now stands to change this status quo, by enabling physicians to perform diagnostic and therapeutic interventions at the bedside, whether in an urban hospital, rural clinic, or mobile care unit. POCUS has the potential to transcend geographic and socioeconomic barriers and limitations and bring closer the ideal of equitable access to healthcare. There are a multitude of applications for POCUS in diagnostic and therapeutic interventions. Hence this research program concentrates on developing novel computing and engineering technologies to transcend the state of art in POCUS image guided medical interventions. The program will harness novel artificial intelligence and machine learning techniques to create practical solutions for precise, accurate and effective delivery and training of POCUS interventions. The work will be informed and driven by two specific global healthcare challenges, obstructive kidney diseases and prostate cancer. The program has a strong emphasis on the Global Health context, through cocreation with research partners in sub-Saharan West Africa and Canada and through dissemination of research outcomes as free open-source software resources.
Programme
Canada Research Chairs
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
CRC-2023-00279
Name nom
Fichtinger, Gabor
Department département
School of Computing - Queen's University
Organization id
29
Institution établissement
Queen's University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2023
Award amount
100000
Program id
CRC
Program name en
Canada Research Chairs
Program name fr
Chaires de recherche du Canada
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
9998
Committee name en
Canada Research Chair Selection Committee
Committee name fr
Comité de sélection des Chaires de recherche du Canada
Area of application code
9999
Area of application group en
Not available
Area of application group fr
Non disponible
Area of application en
Not available
Area of application fr
Non disponible
Research subject code
9999
Research subject group en
Not available
Research subject group fr
Non disponible
Research subject en
Not available
Research subject fr
Non disponible
Field of research list codes
RDF2070102
Field of research list names en
Biomechanical engineering
Field of research list names fr
Génie biomécanique
Socioeconomic objective list codes
RDS10701
Socioeconomic objective list names en
Human health procedures and pharmaceutical treatments
Socioeconomic objective list names fr
Interventions et traitements pharmaceutiques ayant trait à la santé humaine
Application title
Computer-Assisted Surgery
Keywords
Computer-assisted surgery ; Computer-assisted interventions; Medical-image computing; Image-guided surgery; Image-guided interventions
Application summary
This research program addresses a global challenge. With the swaying progress in novel digital technologies, particularly in artificial intelligence, data analytics and cloud connectivity, “digital health” is on the cusp of transforming access to healthcare. The G7 governments in 2023 declared digital technologies essential to “support achieving and promoting more efficient, inclusive, resilient, equitable, and sustainable universal health coverage, through global cooperation and through equitable and inclusive partnerships”. Medical imaging, a fundamental tool in digital medicine, has been largely unavailable in low-income countries. Emerging low-cost point-of-care ultrasound (POCUS) imaging now stands to change this status quo, by enabling physicians to perform diagnostic and therapeutic interventions at the bedside, whether in an urban hospital, rural clinic, or mobile care unit. POCUS has the potential to transcend geographic and socioeconomic barriers and limitations and bring closer the ideal of equitable access to healthcare. There are a multitude of applications for POCUS in diagnostic and therapeutic interventions. Hence this research program concentrates on developing novel computing and engineering technologies to transcend the state of art in POCUS image guided medical interventions. The program will harness novel artificial intelligence and machine learning techniques to create practical solutions for precise, accurate and effective delivery and training of POCUS interventions. The work will be informed and driven by two specific global healthcare challenges, obstructive kidney diseases and prostate cancer. The program has a strong emphasis on the Global Health context, through cocreation with research partners in sub-Saharan West Africa and Canada and through dissemination of research outcomes as free open-source software resources.