Canada Spends Logo

Explore our Budget 2026 analysis

Grant: Project Grant

Toronto Metropolitan University

$906,526.00

FetAS: Fetal Assessment Suite to Facilitate Rapid Fetal MRI Diagnosis using Artificial Intelligence

FY 2022-23

Summary
Magnetic resonance imaging (MRI) has been increasingly used for fetal diagnosis in the last years and has become a very important tool for diagnostic and therapeutic decision making in fetal medicine. Interpretations of these examinations require radiologists with unique experience and expertise. The limited availability of such radiologists has led to substantial delays in access to these exams and in diagnosing often life-threatening abnormalities. In an attempt to address this and improve radiologists' workflow, we have created the Fetal Assessment Suite (FetAS) which is composed of artificial intelligence algorithms. The project proposes to further enhance the features in FetAS, clinically validate them on large multi-hospital-based datasets, and then assess their impact on fetal radiologists' time efficiency.
Program
Project Grant
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
CIHR Funding Decisions Database

As published

Id
478151
Name
Sussman Dafna
Region
Ontario
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Human Development, Child and Youth Health
Theme2
Biomedical
Prcname2
Medical Physics & Imaging
Projecttitle
FetAS: Fetal Assessment Suite to Facilitate Rapid Fetal MRI Diagnosis using Artificial Intelligence
Programtype2
Operating Grants
Orgnameinp2
Toronto Metropolitan University
Cihramount2
$906,526
Cihrequipment2
$0
Programname2
Project Grant
Keyworddelim
Automatic Image Processing; Clinical Validation; Diagnostic Imaging; Fetal Mri; Image Classification; Image Segmentation; Machine Learning; Radiology; Time Efficiency
Abstract
Magnetic resonance imaging (MRI) has been increasingly used for fetal diagnosis in the last years and has become a very important tool for diagnostic and therapeutic decision making in fetal medicine. Interpretations of these examinations require radiologists with unique experience and expertise. The limited availability of such radiologists has led to substantial delays in access to these exams and in diagnosing often life-threatening abnormalities. In an attempt to address this and improve radiologists' workflow, we have created the Fetal Assessment Suite (FetAS) which is composed of artificial intelligence algorithms. The project proposes to further enhance the features in FetAS, clinically validate them on large multi-hospital-based datasets, and then assess their impact on fetal radiologists' time efficiency.
Competitiondate
202303
Approvedterm2
5 yrs 0 mth
Pinamesdelim
Sussman, Dafna; Ertl-Wagner, Birgit B
Approvedterm
5 ans 0 mois
Cihrcontribution2
~ $906,526~ $0~