Providing prevention, diagnosis, and treatment of patients after COVID-19 using artificial intelligence.


Journal

Neuro endocrinology letters
ISSN: 2354-4716
Titre abrégé: Neuro Endocrinol Lett
Pays: Sweden
ID NLM: 8008373

Informations de publication

Date de publication:
Apr 2022
Historique:
received: 15 03 2022
accepted: 02 04 2022
pubmed: 6 7 2022
medline: 4 8 2022
entrez: 5 7 2022
Statut: ppublish

Résumé

The aim of this research was to investigate the prevention, diagnosis, and treatment of patients after COVID-19 with the possibility of using artificial intelligence and virtual reality in combination with traditional approaches to patient rehabilitation. Statistical methods were used to evaluate the situation of COVID-19 worldwide and in Slovakia until March 2022. We investigated the rehabilitation options of breathing exercises, upper and lower limb rehabilitation, and cognitive tasks in patients with post-COVID syndrome who met the criteria for a combined rehabilitation program using virtual reality. Using artificial intelligence, we can predict in advance the evolution of the pandemic according to the records of infected patients and the evolution of the pandemic in the world, taking into account nearby territories. In the treatment of post-COVID syndrome, parameters have been identified that can be measured to objectively assess the improvement of the patient's condition and to continue personalizing individual rehabilitation scenarios. In the patients who underwent the combined rehabilitation method, we observed progress in their ability to improve breathing, limb motor skills and also cognitive function of the patients. We identified different categories of parameters that can be evaluated by artificial intelligence methods, and we evaluated different scenarios using the exterior of nature and the interior of the room of the rehabilitation method of virtual reality, as well as the key elements of the "WOW" effect creating emotional changes in the patient for their motivation. We showed that artificial intelligence and virtual reality methods have the potential to accelerate rehabilitation and increase motivation in patients with post-COVID syndrome.

Identifiants

pubmed: 35786805
pii: NEL430122A10

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

9-17

Auteurs

Eugen Ruzicky (E)

Faculty of Informatics, Pan-European University, Bratislava, Slovakia.

Miron Sramka (M)

St. Elizabeth University of Health and Social Work, Bratislava, Slovakia.

Miron Sramka (M)

Department of Sterotactic Radiosurgery, OUSA Bratislava, Slovakia.

Ján Lacko (J)

Faculty of Informatics, Pan-European University, Bratislava, Slovakia.

Jan Masan (J)

St. Elizabeth University of Health and Social Work, Bratislava, Slovakia.

Jerzy Rottermund (J)

St. Elizabeth University of Health and Social Work, Bratislava, Slovakia.

Vladimir Krcmery (V)

St. Elizabeth University of Health and Social Work, Bratislava, Slovakia.

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Classifications MeSH