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Paper Details

Exploring potential barriers in equitable access to pediatric diagnostic imaging using machine learning.
Front Public Health
1
2023
DI, caregivers, patient, patients, postal code
Appointments and Schedules, Child, Hospitals, Humans, Logistic Models, Machine Learning, Magnetic Resonance Imaging
Author NameAffiliation
Maryam Taheri-ShiraziThe Hospital for Sick Children (SickKids)
Khashayar NamdarThe Hospital for Sick Children (SickKids)
Khashayar NamdarInstitute of Medical Science, University of Toronto
Khashayar NamdarVector Institute
Khashayar NamdarNVIDIA Deep Learning Institute
Kelvin LingThe Hospital for Sick Children (SickKids)
Karima KarmaliThe Hospital for Sick Children (SickKids)
Melissa D McCraddenThe Hospital for Sick Children (SickKids)
Melissa D McCradden
Melissa D McCraddenDalla Lana School of Public Health, University of Toronto
Wayne LeeThe Hospital for Sick Children (SickKids)
Farzad KhalvatiThe Hospital for Sick Children (SickKids)
Farzad KhalvatiInstitute of Medical Science, University of Toronto
Farzad KhalvatiVector Institute
Farzad KhalvatiUniversity of Toronto
Farzad KhalvatiUniversity of Toronto
Farzad KhalvatiUniversity of Toronto
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