Significant Features and Applications of Drones for Healthcare: An Overview

Javaid, Mohd; Haleem, Abid; Khan, Ibrahim Haleem; Singh, Ravi Pratap; Suman, Rajiv; Mohan, Sanjay

doi:10.1142/s2424862222500245

Cited by 4 publications

(2 citation statements)

References 92 publications

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“…This research conducted comparative economic analyses between UAV implementations and traditional healthcare supply chain methods, assessing the cost implications and potential increases in efficiency. The analyses included the costs associated with establishing and maintaining communication networks necessary for long-range pilot-to-UAV communications, evaluating their impact on the overall costeffectiveness of UAV deployment in healthcare logistics [52,57,58].…”

Section: Drone Delivery Of Non-time Critical Medical Itemsmentioning

confidence: 99%

Emerging Research Topics in Drone Healthcare Delivery

Campbell,

Bosiocic,

Hvala

et al. 2024

Drones

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The application of drones to assist with healthcare delivery has grown rapidly over the last decade. This industry is supported by a growing research field, and we have undertaken a systematic review of the published literature. Web-based searches returned 290 relevant manuscripts published between 2010 and 2024. We applied Topic Modelling to this corpus of literature, which examines word association and connectedness within the research papers. The modelling identified two emerging research themes with little connection between them: those who used drones to deliver time-critical medical items and those who used drones to deliver non-time-critical medical items. The former was in response to medical emergencies, while the latter was for enhancing resilience in the healthcare supply chain. The topics within these research themes exhibited notable differences. The delivery of time-critical medical items theme comprised the topics of ‘Emergency Response’, ‘Defibrillator and Organ Delivery’, and ‘Search and Rescue’, whilst non-time-critical delivery researched the topics of ‘Supply Chain Optimisation’ and ‘Cost-Effectiveness’, ‘Overcoming Remoteness’, and ‘Pandemic Response’. Research on ‘Engineering and Design Considerations’ and ‘Ethical and Social Considerations’ cut across both research themes. We undertook further analysis to assess research topic alignment and identify knowledge gaps. We found that efforts are needed to establish a more standardised terminology for better alignment across the two emerging research themes. Future studies should focus on evaluating the impact of drone delivery on patient health using systematic methods. Additionally, exploring the economic viability of drone-based health services and addressing regulatory barriers are crucial for efficient and effective drone deployment in healthcare delivery systems.

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Section: Drone Delivery Of Non-time Critical Medical Itemsmentioning

confidence: 99%

Emerging Research Topics in Drone Healthcare Delivery

Campbell,

Bosiocic,

Hvala

et al. 2024

Drones

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show abstract

“…UAVs have numerous and diverse commercial, military, and scientific applications. The applications of UAVs have been discussed and categorized by numerous kinds of literature [49,[315][316][317][318]. Some of the most common applications of UAVs include aerial photography and videography.…”

Section: Uav Applications and Main Issuesmentioning

confidence: 99%

A Comprehensive Review of Recent Research Trends on Unmanned Aerial Vehicles (UAVs)

Telli,

Kraa,

Himeur

et al. 2023

Systems

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The growing interest in unmanned aerial vehicles (UAVs) from both the scientific and industrial sectors has attracted a wave of new researchers and substantial investments in this expansive field. However, due to the wide range of topics and subdomains within UAV research, newcomers may find themselves overwhelmed by the numerous options available. It is therefore crucial for those involved in UAV research to recognize its interdisciplinary nature and its connections with other disciplines. This paper presents a comprehensive overview of the UAV field, highlighting recent trends and advancements. Drawing on recent literature reviews and surveys, the review begins by classifying UAVs based on their flight characteristics. It then provides an overview of current research trends in UAVs, utilizing data from the Scopus database to quantify the number of scientific documents associated with each research direction and their interconnections. This paper also explores potential areas for further development in UAVs, including communication, artificial intelligence, remote sensing, miniaturization, swarming and cooperative control, and transformability. Additionally, it discusses the development of aircraft control, commonly used control techniques, and appropriate control algorithms in UAV research. Furthermore, this paper addresses the general hardware and software architecture of UAVs, their applications, and the key issues associated with them. It also provides an overview of current open source software and hardware projects in the UAV field. By presenting a comprehensive view of the UAV field, this paper aims to enhance our understanding of this rapidly evolving and highly interdisciplinary area of research.

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PIXGAN-Drone: 3D Avatar of Human Body Reconstruction From Multi-View 2D Images

Salim Rasheed,

Jabberi,

Hamdani

et al. 2024

IEEE Access

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Research on training Generative Adversarial Networks (GANs) to create 3D human body avatars from 2D datasets is underway. Research done in this field shows promise and has paved the way for significant advancements in a variety of applications, including virtual reality, sports analysis, cinematography, surveillance, and cinematography. By avoiding obstacles and producing high-resolution, rich-information multi-view (RGB) images, drone active tracking combined with aerial photography sensors can eliminate occlusions and enable 3D avatar body reconstruction. Due to several issues, such as restricted perspective coverage, obvious occlusions, and texture disappearance, 3D avatar reconstruction techniques encounter training failures that cause distortions and feature loss in 3D reconstructed models. The new endto-end trainable deep neural network methodology PIXGAN-Drone is presented in this paper for the photorealistic 3D avatar of the human body reconstruction from multi-view images. It is based on the integration of active tracking drones equipped with aerial photography sensors (stable automatic circular motion system) into the Pix2Pix GANs training framework to generate high-resolution 2D models. Conditional image-toimage translation and dynamic aerial perspectives can be used to develop realistic and accurate 3D models. This research conducted experiments on multiple datasets to demonstrate the improved performance of our method over state-of-the-art methods for various metrics (Chamfer, P2S, and CED). The results showed that our 3D reconstructed human avatars were 0.0293, 0.0271, and 0.0232 on RenderPeople, 0.0133, 0.0136, 0.0050 on People Snapshot (indoor), 0.0154, 0.0101, 0.0063 on People Snapshot (outdoor), and 0.0316, 0.0275, 0.0216 on Custom data-drone (collected dataset).INDEX TERMS 3D human avatar, 3D reconstruction, PIX2PIXGAN, body model rendering, drone active tracking.

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Significant Features and Applications of Drones for Healthcare: An Overview

Cited by 4 publications

References 92 publications

Emerging Research Topics in Drone Healthcare Delivery

Emerging Research Topics in Drone Healthcare Delivery

A Comprehensive Review of Recent Research Trends on Unmanned Aerial Vehicles (UAVs)

PIXGAN-Drone: 3D Avatar of Human Body Reconstruction From Multi-View 2D Images

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