利用人工智能为 COVID-19 后的患者提供预防、诊断和治疗。

Pub Date : 2022-04-01
Eugen Ruzicky, Miron Sramka, Miron Sramka, Ján Lacko, Jan Masan, Jerzy Rottermund, Vladimir Krcmery
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引用次数: 0

摘要

研究目的本研究的目的是调查 COVID-19 后患者的预防、诊断和治疗情况,以及使用人工智能和虚拟现实技术与传统患者康复方法相结合的可能性:采用统计方法评估了全球和斯洛伐克截至2022年3月的COVID-19情况。我们调查了符合使用虚拟现实技术进行综合康复计划标准的后 COVID 综合征患者的呼吸练习、上下肢康复和认知任务等康复方案。利用人工智能,我们可以根据受感染患者的记录和大流行病在全球的演变情况,并考虑到附近地区,提前预测大流行病的演变。在COVID后综合征的治疗中,已经确定了可以测量的参数,以客观评估患者病情的改善情况,并继续个性化个人康复方案:结果:在接受联合康复方法的患者中,我们观察到他们在改善呼吸、肢体运动技能和认知功能方面的能力有所提高。我们确定了可通过人工智能方法进行评估的不同参数类别,并利用虚拟现实康复方法的外部自然环境和室内环境对不同场景进行了评估,还评估了 "WOW "效应的关键要素,这些要素会使患者产生情感变化,从而激发他们的积极性:结论:我们的研究表明,人工智能和虚拟现实方法有可能加快 COVID 后综合征患者的康复并提高其积极性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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Providing prevention, diagnosis, and treatment of patients after COVID-19 using artificial intelligence.

Objective: 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.

Materials and methods: 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.

Results: 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.

Conclusion: We showed that artificial intelligence and virtual reality methods have the potential to accelerate rehabilitation and increase motivation in patients with post-COVID syndrome.

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