Journal of Healthcare Engineering

Supporting Healthcare During the COVID-19 Pandemic with Robotics and Artificial Intelligence


Publishing date
01 Oct 2021
Status
Closed
Submission deadline
11 Jun 2021

Lead Editor

1IRCCS Neuromed, Pozzilli, Italy

2University of Nottingham, Nottingham, UK

This issue is now closed for submissions.

Supporting Healthcare During the COVID-19 Pandemic with Robotics and Artificial Intelligence

This issue is now closed for submissions.

Description

The coronavirus (COVID-19) pandemic has taken the world by surprise. Due to a surge in demand for critical care facilities, the best healthcare systems in the world have collapsed. Moreover, COVID-19 has accelerated the need of some technological innovations, strategies, and solutions that enable scientists to reduce the spread of the virus and its effects. Some Artificial Intelligence (AI) applications are actively investigating medical databases for treatments. Previously, some AI applications were also used to develop new molecules for possible drugs, as well as to help confirm possible fake diseases.

Mechanical tasks like food preparation or medication distribution have been performed by robots on isolation and disinfection wings to minimise patient interaction. For instance, they spray disinfectants in potentially contaminated areas, and ensure food and medication do not get contaminated when transported to quarantine areas. Telemedicine also plays an important role in preventing health systems from failing and eliminating the transmission of the disease in hospitals. These tools may also provide specialist knowledge of infectious diseases in areas where advanced services are lacking. Additionally, they improve effective triage, classification of patients prior to their arrival at the emergency room, and coordination of care for probable COVID-19 cases or people who have been exposed to a confirmed COVID-19 patient.

The aim of this Special Issue is to collate original research about robotics and AI for the purpose to support healthcare during the COVID-19 pandemic. Review articles discussing the state of the art are also welcome.

Potential topics include but are not limited to the following:

  • AI techniques for COVID-19 diagnosis
  • Using AI in medical images analysis for diagnosis COVID-19 long-term effects
  • Applications of AI in biomechanics to support telerehabilitation
  • Wearable systems to prevent the spread of COVID-19
  • Wearable systems to monitor health during COVID-19 quarantine
  • Innovative and portable rehabilitation devices to support home therapy during emergency lockdowns
  • Robotics as aid system for COVID-19 prevention
  • Robotics to support drug delivery
  • Robotics in sanitation
  • Service robotics for hospital support during viral emergencies

Articles

  • Special Issue
  • - Volume 2021
  • - Article ID 9437538
  • - Research Article

A Novel COVID-19 Diagnosis Support System Using the Stacking Approach and Transfer Learning Technique on Chest X-Ray Images

Soufiane Hamida | Oussama El Gannour | ... | Hassan Ouajji
  • Special Issue
  • - Volume 2021
  • - Article ID 6799202
  • - Research Article

Research on Classification of COVID-19 Chest X-Ray Image Modal Feature Fusion Based on Deep Learning

Dongsheng Ji | Zhujun Zhang | ... | Qianchuan Zhao
  • Special Issue
  • - Volume 2021
  • - Article ID 2770846
  • - Research Article

Structural Design and Preliminary Tests of a Novel Patient Transfer Apparatus for Medical Scenarios

Yu Tian | Hongbo Wang | ... | Jianye Niu
  • Special Issue
  • - Volume 2021
  • - Article ID 5556207
  • - Research Article

Disentangling the Association of Hydroxychloroquine Treatment with Mortality in Covid-19 Hospitalized Patients through Hierarchical Clustering

Augusto Di Castelnuovo | Alessandro Gialluisi | ... | Licia Iacoviello
  • Special Issue
  • - Volume 2021
  • - Article ID 5528441
  • - Research Article

Classification of COVID-19 Chest CT Images Based on Ensemble Deep Learning

Xiaoshuo Li | Wenjun Tan | ... | Jinzhu Yang
  • Special Issue
  • - Volume 2021
  • - Article ID 6649591
  • - Research Article

Computer-Aided Diagnosis of COVID-19 CT Scans Based on Spatiotemporal Information Fusion

Tianyi Li | Wei Wei | ... | Jihua Gu
  • Special Issue
  • - Volume 2021
  • - Article ID 6680762
  • - Research Article

An Autotuning Cable-Driven Device for Home Rehabilitation

Jhon F. Rodríguez-León | Betsy D. M. Chaparro-Rico | ... | Daniele Cafolla

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