Integrating artificial intelligence tools in health research
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Gemma Postill1,2, Jana Sedlakova3,4, Stefano Tancredi5,6
1Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada. gemma.postill@utoronto.ca.
Abstract:
Disciplines conducting health research rely on discipline-specific workflows that are distinct from data science, the discipline which develops most artificial intelligence (AI)-enabled research tools. Here we reflect on the impact of such differences in workflows and provide practical advice for leveraging AI-enabled research tools in health research. Further, we provide recommendations for how to prepare the next generation of health researchers for the inevitable influx of research integrating AI-enabled tools.
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