Related Experiment Video
Updated: Jan 24, 2026

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
Published on: December 15, 2023
A population health perspective on artificial intelligence
Maxime Lavigne1,2, Fatima Mussa3, Maria I Creatore3,4
11 Surveillance Lab, McGill Clinical and Health Informatics, McGill University, Montreal, Quebec, Canada.
Abstract:
The burgeoning field of Artificial Intelligence (AI) has the potential to profoundly impact the public's health. Yet, to make the most of this opportunity, decision-makers must understand AI concepts. In this article, we describe approaches and fields within AI and illustrate through examples how they can contribute to informed decisions, with a focus on population health applications. We first introduce core concepts needed to understand modern uses of AI and then describe its sub-fields. Finally, we examine four sub-fields of AI most relevant to population health along with examples of available tools and frameworks. Artificial intelligence is a broad and complex field, but the tools that enable the use of AI techniques are becoming more accessible, less expensive, and easier to use than ever before. Applications of AI have the potential to assist clinicians, health system managers, policy-makers, and public health practitioners in making more precise, and potentially more effective, decisions.
Related Concept Videos
Conservation of Small Populations
Intelligence
Psychodynamic Perspectives on Personality
Psychodynamic theorists argue that unconscious...
What is Population Genetics?
Population Growth
Measures of Intelligence
Validity refers to how well a test measures what it claims to measure. An intelligence test should accurately assess intelligence rather than another characteristic, like anxiety. Criterion validity is one way to evaluate this;...

