ReviewInternational journal of biological sciences2021
Artificial intelligence in the diagnosis of COVID-19: challenges and perspectives.
Review in International journal of biological sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06405048 (Evaluating the Feasibility and Effectiveness of a Mock-up Fact-checking Extension to Improve Ability to Debunk HPV Vaccine Misinformation Among Parents of Middle School Girls), which is not on this map. Cited by 37 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.
Evaluating the Feasibility and Effectiveness of a Mock-up Fact-checking Extension to Improve Ability to Debunk HPV Vaccine Misinformation Among Parents of Middle School Girls: A Survey Experiment
Who cites it
37 citing papers in PubMed.
- ROFI: a deep learning-based ophthalmic sign-preserving and reversible patient face anonymizer.NPJ digital medicine · 2025Article
- Development of Deep Learning Models for Real-Time Thoracic Ultrasound Image Interpretation.Journal of imaging · 2025Article
- Development and Validation of Chinese Version of Dental Pain Screening Questionnaire.International dental journal · 2025Article
- Deep Unsupervised Clustering for Prostate Auto-segmentation With and Without Hydrogel Spacer.Machine learning: science and technology · 2025Article
- A web-based artificial intelligence system for label-free virus classification and detection of cytopathic effects.Scientific reports · 2025Article
- Leveraging Artificial Intelligence and Gene Expression Analysis to Identify Some Potential Bovine Coronavirus (BCoV) Receptors and Host Cell Enzymes Potentially Involved in the Viral Replication and Tissue Tropism.International journal of molecular sciences · 2025Article
- Mapping Artificial Intelligence Research Trends in Critical Care Nursing: A Bibliometric Analysis.Journal of multidisciplinary healthcare · 2025Review
- Overview of Wearable Healthcare Devices for Clinical Decision Support in the Prehospital Setting.Sensors (Basel, Switzerland) · 2024Review
- Review
- Transformative Potential of AI in Healthcare: Definitions, Applications, and Navigating the Ethical Landscape and Public Perspectives.Healthcare (Basel, Switzerland) · 2024Review
- Artificial Intelligence Application for Anti-tumor Drug Synergy Prediction.Current medicinal chemistry · 2024Review
- Diagnosis of COVID-19 Using Chest X-ray Images and Disease Symptoms Based on Stacking Ensemble Deep Learning.Diagnostics (Basel, Switzerland) · 2023Article
- A Novel COVID-19 Diagnostic System Using Biosensor Incorporated Artificial Intelligence Technique.Diagnostics (Basel, Switzerland) · 2023Article
- Efficient Lung Ultrasound Classification.Bioengineering (Basel, Switzerland) · 2023Article
- Artificial intelligence and discrete-event simulation for capacity management of intensive care units during the Covid-19 pandemic: A case study.Journal of business research · 2023Article
- Development and evaluation of an artificial intelligence system for children intussusception diagnosis using ultrasound images.iScience · 2023Article
- Artificial Intelligence in Medicine and Dentistry.Acta stomatologica Croatica · 2023Review
- A novel COVID diagnosis and feature extraction based on discrete wavelet model and classification using X-ray and CT images.Multimedia tools and applications · 2023Article
- Application of Machine Learning and Deep Learning Techniques for COVID-19 Screening Using Radiological Imaging: A Comprehensive Review.SN computer science · 2023Article
- A review on lung disease recognition by acoustic signal analysis with deep learning networks.Journal of big data · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial intelligence (AI) is being used to aid in various aspects of the COVID-19 crisis, including epidemiology, molecular research and drug development, medical diagnosis and treatment, and socioeconomics. The association of AI and COVID-19 can accelerate to rapidly diagnose positive patients. To learn the dynamics of a pandemic with relevance to AI, we search the literature using the different academic databases (PubMed, PubMed Central, Scopus, Google Scholar) and preprint servers (bioRxiv, medRxiv, arXiv). In the present review, we address the clinical applications of machine learning and deep learning, including clinical characteristics, electronic medical records, medical images (CT, X-ray, ultrasound images, etc.) in the COVID-19 diagnosis. The current challenges and future perspectives provided in this review can be used to direct an ideal deployment of AI technology in a pandemic.
Indexed as
Identifiers
What OpenQuestion holds
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.