[agents] CFP - Research topic on Artificial Intelligence to Support UAVs in Healthcare

[Emmanouil Rigas]

[apologies for cross-posting]

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Artificial Intelligence to Support UAVs in Healthcare
Research topic in Frontiers in Artificial Intelligence
https://www.frontiersin.org/research-topics/37973/artificial-intelligence-to-support-uavs-in-healthcare
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AIMS AND SCOPE
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Unmanned aerial vehicles (UAVs), or simply drones, are used in a  
plethora of civil applications such as real-time monitoring, civil  
infrastructure inspection, wireless coverage, delivery of goods,  
security and surveillance, precision agriculture, and healthcare.  
Regarding the latter, drones can be utilized in natural disaster  
relief, as search and rescue units, as transfer units, and to support  
telemedicine. For drones to be efficient in such applications, their  
scheduled and coordinated flying is crucial. Moreover, given that  
drones typically use an electric motor and store the required energy  
in batteries, their scheduled charging is crucial to maximize their  
availability.

Controlling drones demands efficient algorithms that can solve  
problems that involve a large number of heterogeneous entities (e.g.,  
drones’ owners), each one having its own goals, needs, and incentives  
(e.g., amount of pharmaceuticals to transport), while they operate in  
highly dynamic environments (e.g., variable number of drones) and  
having to deal with a number of uncertainties (e.g., future requests,  
emergency situations). In this context, artificial intelligence (AI)  
techniques such as heuristic search, optimization, multi-agent  
systems, and machine learning are becoming extremely popular.  
Additionally, when drones are used for healthcare operations, their  
ability to complete their missions in a timely and efficient manner  
and to build trust with all the involved stakeholders is of utmost  
importance. In this Research Topic, we focus on the use of Artificial  
Intelligence techniques to cope with drone-related challenges in the  
healthcare domain and we aim for this Research Topic to work as a  
point of reference for novel AI techniques in this domain.

The submitted papers should be related to drones' applications in  
healthcare such as natural disaster relief, search and rescue,  
delivery of medical goods, and telemedicine amongst others. We accept  
papers that present both applied and fundamental research in this  
field, while each submitted paper should use at least one AI technique.

A non-exhaustive list of potential AI techniques to be used is:
- Optimization
- Scheduling
- Heuristic and meta-heuristic algorithms
- Machine learning and data analysis
- Machine vision
- Multi-agent systems
- Electronic auctions
- Explainable AI
- Trustworthy AI
- Mechanism design and game theory
- Internet of Things
- Knowledge representation
- Semantic web

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SUBMISSIONS
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Information about the article types can be found here
https://www.frontiersin.org/journals/artificial-intelligence#article-types
and information for preparing your manuscript here
https://www.frontiersin.org/journals/artificial-intelligence#author-guidelines

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IMPORTANT DATES
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- Deadline for abstract submission: July 8, 2022
- Deadline for papers submission: September 6, 2022

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GUEST EDITORS
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Emmanouil Rigas (Aristotle University of Thessaloniki)
Antonios Billis (Aristotle University of Thessaloniki)
Charilaos Akasiadis (National Centre of Scientific Research, Demokritos)
Panagiotis Bamidis (Aristotle University of Thessaloniki)




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* Dr. Emmanouil Rigas, PostDoc Researcher                    *
* Medical Physics and Digital Innovation Lab                 *
* School of Medicine                                         *
* Aristotle University of Thessaloniki, Greece               *
*                                                            *
* E-mail: erigas at auth.gr                                     *
* Personal URL: www.erigas.gr                                *
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