ReviewEuropean journal of radiology2022
Long-COVID diagnosis: From diagnostic to advanced AI-driven models.
Review in European journal of radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
40 citing papers in PubMed.
- Longitudinal modeling of Post-COVID-19 condition over three years: A machine learning approach using clinical, neuropsychological, and fluid markers.Scientific reports · 2026Article
- Advancing understanding of long COVID pathophysiology through quantum walk-based network analysis.Bioinformatics advances · 2026Article
- From infection to intervention: post-acute sequelae of SARS-CoV-2 infection and cardiovascular risk.Inflammopharmacology · 2025Review
- Artificial Intelligence in Cardiovascular Health: Insights into Post-COVID Public Health Challenges.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2025Review
- A multidisciplinary review of long COVID to address the challenges in diagnosis and updated management guidelines.Annals of medicine and surgery (2012) · 2025Review
- A Review on Long COVID Screening: Challenges and Perspectives Focusing on Exhaled Breath Gas Sensing.ACS sensors · 2025Review
- Heterogeneity of diagnosis and documentation of post-COVID conditions in primary care: A machine learning analysis.PloS one · 2025Observational
- The Untapped Potential of Dimension Reduction in Neuroimaging: Artificial Intelligence-Driven Multimodal Analysis of Long COVID Fatigue.Brain sciences · 2024Article
- Machine learning predicts pulmonary Long Covid sequelae using clinical data.BMC medical informatics and decision making · 2024Article
- Text mining method to unravel long COVID's clinical condition in hospitalized patients.Cell death & disease · 2024Article
- Technical principles, benefits, challenges, and applications of photon counting computed tomography in coronary imaging: a narrative review.Cardiovascular diagnosis and therapy · 2024Review
- Significance of Artificial Intelligence in the Study of Virus-Host Cell Interactions.Biomolecules · 2024Review
- Four Transformer-Based Deep Learning Classifiers Embedded with an Attention U-Net-Based Lung Segmenter and Layer-Wise Relevance Propagation-Based Heatmaps for COVID-19 X-ray Scans.Diagnostics (Basel, Switzerland) · 2024Article
- Spectral Photon-Counting Computed Tomography: Technical Principles and Applications in the Assessment of Cardiovascular Diseases.Journal of clinical medicine · 2024Review
- Possible Role of Cannabis in the Management of Neuroinflammation in Patients with Post-COVID Condition.International journal of molecular sciences · 2024Review
- Detection of COVID-19 features in lung ultrasound images using deep neural networks.Communications medicine · 2024Article
- Artificial Intelligence in the Differential Diagnosis of Cardiomyopathy Phenotypes.Diagnostics (Basel, Switzerland) · 2024Review
- Health care for patients with long COVID: a scoping review.Revista da Escola de Enfermagem da U S P · 2024Article
- Body composition and cardiorespiratory fitness of overweight COVID-19 survivors in different severity degrees: a cohort study.Scientific reports · 2023Article
- Benzoindolizidine Alkaloids Tylophorine and Lycorine and Their Analogues with Antiviral, Anti-Inflammatory, and Anticancer Properties: Promises and Challenges.Biomedicines · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
SARS-COV 2 is recognized to be responsible for a multi-organ syndrome. In most patients, symptoms are mild. However, in certain subjects, COVID-19 tends to progress more severely. Most of the patients infected with SARS-COV2 fully recovered within some weeks. In a considerable number of patients, like many other viral infections, various long-lasting symptoms have been described, now defined as "long COVID-19 syndrome". Given the high number of contagious over the world, it is necessary to understand and comprehend this emerging pathology to enable early diagnosis and improve patents outcomes. In this scenario, AI-based models can be applied in long-COVID-19 patients to assist clinicians and at the same time, to reduce the considerable impact on the care and rehabilitation unit. The purpose of this manuscript is to review different aspects of long-COVID-19 syndrome from clinical presentation to diagnosis, highlighting the considerable impact that AI can have.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.