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Artificial Intelligence in Public Health: Current Trends and Future Possibilities

Topic Information

Dear Colleagues,

Due to the COVID-19 pandemic, we are witnessing a growing scientific interest in the development and application of artificial intelligence in the health domain. Research in this area is strategic for the development of health systems and is inextricably linked to the development of digital health, both as regards the collection, -monitoring and management of information, and as regards the management of hospital and connected government information systems. Think, for example, of the opportunities presented by wearable monitoring, big data, and robotic surgery. The applications of artificial intelligence have received growing interest in many sectors, such as: organ, functional tissue and cell diagnostics;  care robotics, assisting in interventions, rehabilitation and supporting the communication and assistance of disabled people; the biomedicine sector, from genetics to modeling; and precision and personalized biomedicine.

A statement by Henry Ford reported that "real progress happens only when the advantages of a new technology become available to everybody".

The consolidation of technologies based on artificial intelligence in the health domain is intended to bring benefits to everyone, from the stakeholder to the patient, in the form of equity of care. 

Artificial intelligence in the future will have a strong impact on: 

  • The prevention of the onset of diseases in the individual and in society
  • The provision of personal care and assistance.
  • Society trends regarding diseases and the impact of biological and behavioral factors.
  • Organization of hospital activities with regard to treatment, diagnostic and decision-making processes.

Thanks to artificial intelligence, on the one hand, big data will help us to predict diseases on an individual and collective basis and to identify and correct population behaviors; on the other hand, wearable technologies will allow us to monitor and collect individual medical information and to calibrate the care process. The integration of artificial intelligence with virtual reality and augmented reality will allow us to create both virtual medicine services that citizens can access in a simple and direct way, and robotic surgery applications that are increasingly effective and safe.

This topic is very broad, and ranges from scientific development to applications in the health domain, and it also includes ethical and training issues.

This Topic invites authors to contribute on aspects of the research on, development, and application of artificial intelligence in current applications in the health domain and in future scenarios of use.

In this Topic, original research articles, reviews, commentaries, opinions, viewpoints, communications and brief reports are welcome. Research areas may include (but are not limited to) the following:

  • Artificial neural networks
  • Deep learning
  • Care robotics
  • Natural language processing
  • Social intelligence
  • Virtual reality
  • Augmented reality
  • Medical decision making
  • Disease monitoring, prediction, diagnosis, and classification
  • Patient monitoring
  • Hospital organization
  • Diagnostic imaging
  • Digital pathology
  • Digital radiology.

We look forward to receiving your contributions.

Prof. Dr. Daniele Giansanti
Dr. Giovanni Costantini
Topic Editors

Keywords

  • artificial intelligence
  • neural networks
  • big data
  • robotics
  • healthcare
  • virtual reality
  • augmented reality
  • digital health
  • digital radiology
  • digital pathology

Participating Journals

Applied Sciences
Open Access
80,966 Articles
Launched in 2011
2.5Impact Factor
5.5CiteScore
20 DaysMedian Time to First Decision
Q2Highest JCR Category Ranking
Bioengineering
Open Access
5,437 Articles
Launched in 2014
3.7Impact Factor
5.3CiteScore
19 DaysMedian Time to First Decision
Q2Highest JCR Category Ranking
Healthcare
Open Access
13,896 Articles
Launched in 2013
2.7Impact Factor
4.7CiteScore
21 DaysMedian Time to First Decision
Q2Highest JCR Category Ranking
International Journal of Environmental Research and Public Health
Open Access
65,059 Articles
Launched in 2004
-Impact Factor
8.5CiteScore
28 DaysMedian Time to First Decision
-Highest JCR Category Ranking
Journal of Clinical Medicine
Open Access
43,699 Articles
Launched in 2012
2.9Impact Factor
5.2CiteScore
18 DaysMedian Time to First Decision
Q1Highest JCR Category Ranking
AI
Open Access
601 Articles
Launched in 2020
5.0Impact Factor
6.9CiteScore
21 DaysMedian Time to First Decision
Q1Highest JCR Category Ranking

Published Papers