A5078384968- AI-based Problem Solving and Planning
- Tuberculosis Research and Epidemiology
- Big Data and Business Intelligence
- Artificial Intelligence in Healthcare and Education
- Pneumonia and Respiratory Infections
- Respiratory viral infections research
- Opioid Use Disorder Treatment
- Ethics in medical practice
- Intelligent Tutoring Systems and Adaptive Learning
- Primary Care and Health Outcomes
- Pneumocystis jirovecii pneumonia detection and treatment
- Health Systems, Economic Evaluations, Quality of Life
- Palliative Care and End-of-Life Issues
- Cannabis and Cannabinoid Research
- Influenza Virus Research Studies
- Health Sciences Research and Education
- Mobile Health and mHealth Applications
- Smoking Behavior and Cessation
- Occupational Health and Safety Research
- Biomedical Ethics and Regulation
- Technology Adoption and User Behaviour
- Meta-analysis and systematic reviews
- Library Collection Development and Digital Resources
- Emergency and Acute Care Studies
- COVID-19 diagnosis using AI
McGill University
2016-2025
Physical Sciences (United States)
2021-2024
University of Brescia
2023
University Medical Center Freiburg
2021
Centre Hospitalier de l’Université de Montréal
2021
Icahn School of Medicine at Mount Sinai
2021
Allen Institute for Brain Science
2021
Jewish General Hospital
2017-2021
Centre Hospitalier Universitaire Sainte-Justine
2017
Université de Montréal
2017
Health librarians have made a significant and enduring contribution to knowledge syntheses through our work on systematic reviews as expert searchers [1], methodologists [2], information managers [3]. The scoping review is now emerging an alternative increasingly popular method synthesize the literature given topic. Many noticed this trend (1) may be considering getting involved or (2) wish learn more but not know where start with growing body of type review.
Background Artificial intelligence (AI) has shown promising results in various fields of medicine. It the potential to facilitate shared decision making (SDM). However, there is no comprehensive mapping how AI may be used for SDM. Objective We aimed identify and evaluate published studies that have tested or implemented Methods performed a scoping review informed by methodological framework proposed Levac et al, modifications original Arksey O'Malley review, Joanna Briggs Institute...
Background The successful integration of artificial intelligence (AI) into clinical practice is contingent upon physicians’ comprehension AI principles and its applications. Therefore, it essential for medical education curricula to incorporate topics concepts, providing future physicians with the foundational knowledge skills needed. However, there a gap in current understanding availability structured curriculum frameworks tailored education, which serve as vital guides instructing...