A5008682016- Artificial Intelligence in Healthcare and Education
- Clinical Reasoning and Diagnostic Skills
- Atomic and Subatomic Physics Research
- Advanced Neuroimaging Techniques and Applications
- Machine Learning in Healthcare
- Fetal and Pediatric Neurological Disorders
- Neonatal Respiratory Health Research
- Free Will and Agency
- Functional Brain Connectivity Studies
- Psychology of Moral and Emotional Judgment
- Neonatal and fetal brain pathology
- Congenital Diaphragmatic Hernia Studies
- Advanced NMR Techniques and Applications
- Cardiovascular and exercise physiology
- Mobile Health and mHealth Applications
- Biomedical and Engineering Education
- Autism Spectrum Disorder Research
- Neuroethics, Human Enhancement, Biomedical Innovations
- Advanced MRI Techniques and Applications
- Ethics in Clinical Research
- Cardiac Imaging and Diagnostics
- Sepsis Diagnosis and Treatment
- Cardiovascular Function and Risk Factors
- Cystic Fibrosis Research Advances
- Hearing, Cochlea, Tinnitus, Genetics
University of Toronto
2018-2024
Hospital for Sick Children
2018-2024
Chilean Air Force
2023
Canada Research Chairs
2020-2021
The King's College
2021
King's College Hospital
2021
University of New Brunswick
2020
ORCID
2020
With emerging innovations in artificial intelligence (AI) poised to substantially impact medical practice, interest training current and future physicians about the technology is growing. Alongside comes question of what, precisely, should students be taught. While competencies for clinical usage AI are broadly similar those any other novel technology, there qualitative differences critical importance concerns regarding explainability, health equity, data security. Drawing on experiences at...
Background: There has been growing acknowledgement that undergraduate medical education (UME) must play a formal role in instructing future physicians on the promises and limitations of artificial intelligence (AI), as these tools are integrated into practice. Methods:We conducted an exploratory survey students' knowledge AI, perceptions AI medicine, preferences surrounding integration competencies education.The was completed by 321 students (13.4% response rate) at four schools...
Estimates in a 1989 study indicated that physicians the United States were unable to reach diagnosis accounted for their patient's symptoms up 90% of outpatient patient encounters. Many proponents artificial intelligence (AI) see current process moving from clinical data gathering medical as being limited by human analytic capability and expect AI be valuable tool refine this process. The use fundamentally calls into question extent which uncertainty decision making is tolerated. Uncertainty...
ABSTRACT Background There has been growing acknowledgement that undergraduate medical education (UME) must play a formal role in instructing future physicians on the promises and limitations of artificial intelligence (AI), as these tools are integrated into practice. Methods We conducted an exploratory survey students’ knowledge AI, perceptions AI medicine, preferences surrounding integration competencies education. The was completed by 321 students (13.4% response rate) at four schools...
Abstract The cerebellum, through its connectivity with the cerebral cortex, plays an integral role in regulating cognitive and affective processes, dysregulation can result neurodevelopmental disorder (NDD)-related behavioural deficits. Identifying cerebellar-cerebral functional (FC) profiles children NDDs provide insight into common their correlation to NDD-related behaviours. 479 participants from Province of Ontario Neurodevelopmental Disorders (POND) network (typically developing = 93,...
Purpose To assess the feasibility of hyperpolarized 129 Xe multiple‐breath washout MRI in pediatric cystic fibrosis (CF) participants with preserved lung function. Fractional ventilation ( r ), defined as fractional gas replacement per breath, was mapped using 2 signal models: (1) constant T 1 and (2) variable a function washout. Methods A total 17 were recruited (mean age 11.7 ± 2.8 years), including 7 children clinically stable CF 10 aged‐matched healthy controls. Pulmonary tests...
Purpose To investigate the effect of incorporating T 1 as a function wash‐out breath number (T ( n )) on estimation fractional ventilation r ) using hyperpolarized 129 Xe multiple (MBWO) imaging in rats. Methods MBWO was performed 8 healthy mechanically ventilated rats at several inter‐image delay times (τ) and tidal volumes TV ). maps were calculated from data model (assuming that longitudinal relaxation rate lung is directly proportional to p A O 2 compared obtained by assuming fixed...
Pediatric intensivists are bombarded with more patient data than ever before. Integration and interpretation of from monitors the electronic health record (EHR) can be cognitively expensive in a manner that results delayed or suboptimal medical decision making harm. Machine learning (ML) used to facilitate insights healthcare has been successfully applied pediatric critical care intent. However, many medicine (PCCM) trainees clinicians lack an understanding foundational ML principles. This...
Abstract Background Cerebellar mutism syndrome (CMS) is a common and debilitating complication of posterior fossa tumor surgery in children. Affected children exhibit communication social impairments that overlap phenomenologically with subsets deficits exhibited by Autism spectrum disorder (ASD). Although both CMS ASD are thought to involve disrupted cerebro-cerebellar circuitry, they considered independent conditions due an incomplete understanding their shared neural substrates. Methods...