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Long-COVID diagnosis: From diagnostic to advanced AI-driven models
Riccardo Cau1, Gavino Faa2, Valentina Nardi3
1Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari - Polo di Monserrato, s.s. 554 Monserrato, Cagliari 09045, Italy.
European Journal of Radiology
|February 3, 2022
Summary
Long COVID-19 syndrome affects many patients after SARS-COV-2 infection, causing lasting symptoms. Artificial intelligence can aid in diagnosing and managing this multi-organ condition, improving patient care.
Area of Science:
- Medical Science
- Infectious Diseases
- Artificial Intelligence in Medicine
Background:
- SARS-COV-2 causes a multi-organ syndrome, with most patients experiencing mild illness.
- A significant number of individuals develop persistent symptoms, termed long COVID-19 syndrome, after infection.
- Understanding long COVID-19 is crucial for early diagnosis and improved patient outcomes due to its global prevalence.
Purpose of the Study:
- To review the clinical presentation and diagnostic approaches for long COVID-19 syndrome.
- To highlight the potential impact of Artificial Intelligence (AI) in managing long COVID-19 patients.
- To explore how AI can assist clinicians and reduce the burden on care and rehabilitation units.
Main Methods:
- Literature review of clinical presentations of long COVID-19.
- Exploration of diagnostic strategies for long COVID-19 syndrome.
- Analysis of AI applications in the context of long COVID-19.
Main Results:
- Long COVID-19 is a complex multi-organ syndrome with varied clinical presentations.
- Early diagnosis and comprehensive management strategies are essential for patient recovery.
- AI-based models show promise in assisting clinicians with diagnosis and treatment planning.
Conclusions:
- Long COVID-19 syndrome presents a significant global health challenge requiring further research.
- AI offers a valuable tool to enhance the diagnosis and management of long COVID-19.
- Integrating AI can optimize patient care and alleviate strain on healthcare resources.
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