A5006978073- Artificial Intelligence in Healthcare and Education
- Cardiovascular Health and Disease Prevention
- Cerebrovascular and Carotid Artery Diseases
- COVID-19 diagnosis using AI
- Clinical Reasoning and Diagnostic Skills
- Artificial Intelligence in Healthcare
- Coronary Interventions and Diagnostics
- Multiple Sclerosis Research Studies
- AI in cancer detection
- Photoacoustic and Ultrasonic Imaging
- Machine Learning in Healthcare
- Ultrasound and Hyperthermia Applications
- Healthcare cost, quality, practices
- Acute Ischemic Stroke Management
- Ultrasound in Clinical Applications
- Biomedical and Engineering Education
- Hemodynamic Monitoring and Therapy
- Cardiac Imaging and Diagnostics
- Systemic Lupus Erythematosus Research
- Trypanosoma species research and implications
- Optical Coherence Tomography Applications
- Healthcare Systems and Public Health
- Cellular transport and secretion
- Lysosomal Storage Disorders Research
- Ultrasound Imaging and Elastography
University of British Columbia
2020-2022
Hospital for Sick Children
2022
Kingston Health Sciences Centre
2018
Queen's University
2016-2018
Artificial intelligence (AI) is no longer a futuristic concept; it increasingly being integrated into health care. As studies on attitudes toward AI have primarily focused physicians, there need to assess the perspectives of students across care disciplines inform future curriculum development.This study aims explore and identify gaps in knowledge that Canadian regarding AI, capture how different fields differ their present student-identified ways literacy may be incorporated curriculum.The...
Clinical artificial intelligence (AI) applications are rapidly developing but existing medical school curricula provide limited teaching covering this area. Here we describe an AI training curriculum developed and delivered to Canadian undergraduates recommendations for future training.
In children, multiple sclerosis (MS) is the ultimate diagnosis in only 1/5 to 1/3 of cases after a first episode central nervous system (CNS) demyelination. As visual pathway frequently affected MS and other CNS demyelinating disorders (DDs), structural retinal imaging such as optical coherence tomography (OCT) can be used differentiate MS.This study aimed investigate utility machine learning (ML) based on OCT features identify distinct children with DDs.This included 512 eyes from 187...
The rapid development of artificial intelligence (AI) in medicine has resulted an increased number applications deployed clinical trials. AI tools have been developed with goals improving diagnostic accuracy, workflow efficiency through automation, and discovery novel features data. There is subsequent concern on the role replacing existing tasks traditionally entrusted to physicians. This implications for medical trainees who may make decisions based perception how disruptive be their...
Artificial intelligence (AI) is no longer a futuristic concept; it increasingly integrated into healthcare practice. Many recent commentaries indicated the need to introduce AI literacy training medical curriculum. However, little known about what students want learn AI, and even less from outside of medicine. We performed nation-wide survey across 10 different health professions in Canada. 2167 18 universities Canada responded survey. The majority (80%) predicted that technology will impact...
<sec> <title>BACKGROUND</title> Artificial intelligence (AI) is no longer a futuristic concept; it increasingly being integrated into health care. As studies on attitudes toward AI have primarily focused physicians, there need to assess the perspectives of students across care disciplines inform future curriculum development. </sec> <title>OBJECTIVE</title> This study aims explore and identify gaps in knowledge that Canadian regarding AI, capture how different fields differ their present...
<sec> <title>UNSTRUCTURED</title> Artificial intelligence (AI) has been poised to revolutionize the field of medicine for over thirty years. With rapid growth in computing power and exponential data, medical AI transformed from an afterthought into imminent possibility. These technological advancements have understandably raised concerns healthcare trainees professionals that may be taking their duties. In this work, we discuss multi-faceted issue adoption specifically perspective aims...