AI_5G_eHealth.pdf (641.47 kB)
An Artificial Intelligence application for drone-assisted 5G remote e-Health
journal contribution
posted on 2023-06-10, 01:57 authored by Naercio Magaia, Igor de L Ribeiro, André W O de Aguiar, Ramon Fonseca, Khan Muhammad, Victor Hugo C de AlbuquerqueArtificial intelligence (AI) algorithms are experiencing growing research interest due to their ability to improve decision making capabilities for promising applications in different economic sectors. The growing shift toward the Internet of Everything environments brought by devices embedded with sensors that can share information brings immense opportunity for new applications (apps). While these new apps thrive in resource-rich areas (i.e., capitals), neighboring cities that lack the resources and infrastructure to support them may be left behind. It is vital that new technologies can reach those who need them the most, especially healthcare-based. This article proposes an app-based approach for long-distance patient monitoring and care. The app would serve as a platform of communication between patients and healthcare staff, where the latter can send standardized video footage or pictures to the former (e.g., their primary care doctor). This feature is enhanced with a recurrent neural network algorithm as a validation tool for healthcare-related videos exchanged between patients and staff. Thus, the healthcare team does not need to check each video for validity, freeing their time for other activities.
History
Publication status
- Published
File Version
- Accepted version
Journal
Internet of Things MagazineISSN
2576-3199Publisher
Institute of Electrical and Electronics EngineersExternal DOI
Issue
4Volume
4Page range
30-35Department affiliated with
- Informatics Publications
Research groups affiliated with
- Foundations of Software Systems Publications
Notes
© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2021-12-06First Open Access (FOA) Date
2021-12-06First Compliant Deposit (FCD) Date
2021-12-04Usage metrics
Categories
No categories selectedLicence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC