Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Intelligence01:27

Intelligence

8.6K
The term "intelligence" is complex because it refers to both behavior and individuals, and its interpretation varies across cultures. European Americans tend to link intelligence with reasoning and cognitive skills, while in Kenya, it is tied to responsible participation in family and social life. In Uganda, intelligence is seen as the ability to know the right actions and carry them out effectively, while the Iatmul people of Papua New Guinea associate it with the capacity to remember...
8.6K
Data Reporting and Recording01:24

Data Reporting and Recording

5.4K
Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
5.4K
Measures of Intelligence01:29

Measures of Intelligence

8.5K
Psychologists measure intelligence by using standardized tests that produce a score known as the intelligence quotient or IQ. To understand IQ tests, it's important to recognize the key principles behind their construction: validity, reliability, and standardization.
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;...
8.5K
Multiple Intelligences Theory01:20

Multiple Intelligences Theory

9.0K
Howard Gardner's theory of Multiple Intelligence proposes that there are nine distinct types of intelligence, each reflecting different ways of interacting with the world. Introduced in 1983 and expanded in subsequent years, Gardner's framework challenges the traditional notion of a single, generalized intelligence.
9.0K
Cattell's Theory of Intelligence01:25

Cattell's Theory of Intelligence

8.1K
Raymond Cattell, along with John Horn, made significant contributions to our understanding of intelligence by distinguishing between two types: fluid intelligence and crystallized intelligence.
Fluid intelligence involves the capacity to solve new problems and adapt to unfamiliar situations. It's the type of intelligence individuals use when they encounter a novel problem or puzzle that requires innovative thinking. For instance, figuring out how to operate a new gadget relies heavily on...
8.1K
Triarchic Theory of Intelligence01:24

Triarchic Theory of Intelligence

10.0K
Robert Sternberg's triarchic theory of intelligence posits that intelligence is composed of three distinct but interrelated components: analytical, creative, and practical intelligence.
10.0K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Cleaning products and classes associated with poor respiratory health.

Environmental science and pollution research international·2026
Same author

Is occupational exposure to radiofrequency electromagnetic fields associated with glioma risk? An Australian population-based family case-control study.

BMJ open·2026
Same author

Twenty-Year Longitudinal Cohort Study of Cancer Incidence and Mortality Among Workers in Two Primary Aluminum Prebake Smelters.

American journal of industrial medicine·2026
Same author

Cognitive performance and lifetime occupational exposures in a regional Australian population: a distributed lag mixtures approach.

International journal of environmental health research·2025
Same author

Occupational exposures and incidence of asthma over two decades in the European Community Respiratory Health Survey.

Thorax·2025
Same author

Mesothelioma Incidence Rates in Australia since 1982: Exploring Age, Period, and Cohort Effects and Future Projections.

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology·2025

Related Experiment Video

Updated: Feb 1, 2026

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

5.4K

Artificial Intelligence and Big Data in Public Health.

Kurt Benke1,2, Geza Benke3

  • 1School of Engineering, University of Melbourne, Parkville, Victoria 3010, Australia. kbenke@unimelb.edu.au.

International Journal of Environmental Research and Public Health
|December 15, 2018
PubMed
Summary

Artificial intelligence (AI) and Big Data offer significant public health benefits but pose challenges for medical professionals. This paper explores AI

Keywords:
Big Dataalgorithmsdata miningdeep learningepidemiologymachine learningprecision medicinepredictive analyticsvisionvisualizationwearable AI

More Related Videos

Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence
09:11

Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence

Published on: January 27, 2023

2.8K
Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

1.1K

Related Experiment Videos

Last Updated: Feb 1, 2026

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

5.4K
Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence
09:11

Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence

Published on: January 27, 2023

2.8K
Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

1.1K

Area of Science:

  • Public Health Informatics
  • Computational Medicine
  • Health Services Research

Background:

  • Artificial intelligence (AI) and automation are transforming professional employment and economic landscapes.
  • Big Data analytics are increasingly relevant to public health initiatives.
  • Understanding AI's impact is crucial for healthcare's future.

Purpose of the Study:

  • To explain fundamental concepts of AI and Big Data in public health.
  • To identify potential impacts and challenges for medical professionals and diagnosticians.
  • To discuss ethical considerations and future professional roles in the age of AI.

Main Methods:

  • Literature review of AI and Big Data applications in public health.
  • Analysis of potential benefits from advanced data analytics and machine learning.
  • Discussion of ethical issues and workforce implications.

Main Results:

  • AI and Big Data present opportunities for enhanced public health strategies.
  • Medical professionals and diagnosticians face significant adaptation challenges.
  • Ethical considerations and evolving professional roles require careful management.

Conclusions:

  • Integrating AI and Big Data requires strategic planning for public health.
  • Proactive measures are needed to address the impact on healthcare professionals.
  • Ethical frameworks must guide the responsible adoption of AI in medicine.