Possible consequences of Covid-19 on the nervous system

Area of Science:

• Neurology
• Infectious Diseases
• Artificial Intelligence

Background:

• Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) poses significant risks, influenced by patient age and comorbidities.
• The neurological consequences of COVID-19 are a critical area of concern.
• Existing research highlights varied patient risks based on age and conditions like cardiovascular disease, hypertension, and diabetes.

Purpose of the Study:

• To investigate the neurological consequences of COVID-19.
• To propose an artificial intelligence (AI)-based method for predicting these neurological effects.
• To synthesize current knowledge on the nervous system's response to SARS-CoV-2.

Main Methods:

• A comprehensive literature review was conducted.
• Articles detailing the effects of COVID-19 on the nervous system were systematically selected.
• Analysis focused on identifying key neurological outcomes and risk factors.

Main Results:

• A consolidated summary of the primary neurological consequences of COVID-19 was developed.
• A novel approach utilizing artificial intelligence for prediction was proposed.
• Key patterns in neurological manifestations were identified.

Conclusions:

• Artificial intelligence methods demonstrate significant potential for accelerating the prediction of COVID-19's neurological consequences.
• Further research into AI applications can enhance understanding and management of neuro-COVID-19.
• AI can aid in early identification and potentially mitigate long-term neurological damage.