AIMC Topic: COVID-19 Testing
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Case study on force compliant robot arm controller for nasopharyngeal swab insertion.
Scientific reports
Jul 2, 2025
The nasopharyngeal (NP) swab sample test, commonly used to detect COVID-19 and other respiratory illnesses, involves moving a swab through the nasal cavity to collect samples from the nasopharynx. While typically this is done by human healthcare work...
Machine learning in point-of-care testing: innovations, challenges, and opportunities.
Nature communications
Apr 2, 2025
The landscape of diagnostic testing is undergoing a significant transformation, driven by the integration of artificial intelligence (AI) and machine learning (ML) into decentralized, rapid, and accessible sensor platforms for point-of-care testing (...
Efficacy and Safety of a Medical Robot for Non-Face-to-Face Nasopharyngeal Swab Specimen Collection: Nonclinical and Clinical Trial Findings for COVID-19 Testing.
American journal of rhinology & allergy
Mar 2, 2025
ObjectivesTo meet the high demand for polymerase chain reaction (PCR) tests to diagnose COVID-19 and rapidly control the outbreak, an efficient and safe molecular diagnostic protocol is necessary. In this study, we evaluated the efficacy and safety o...
High performance COVID-19 screening using machine learning.
La Tunisie medicale
Jan 5, 2025
Since the World Health Organization declared the Coronavirus Disease 2019 (COVID-19) pandemic as an international concern of public health emergency in the early 2020, several strategies have been initiated in many countries to prevent healthcare ser...
Testing behaviour change with an artificial intelligence chatbot in a randomized controlled study.
Journal of public health policy
Jul 26, 2024
Chatbots can effect large-scale behaviour change because they are accessible through social media, flexible, scalable, and gather data automatically. Yet research on the feasibility and effectiveness of chatbot-administered behaviour change intervent...
Towards classification and comprehensive analysis of AI-based COVID-19 diagnostic techniques: A survey.
Artificial intelligence in medicine
Apr 1, 2024
The unpredictable pandemic came to light at the end of December 2019, known as the novel coronavirus, also termed COVID-19, identified by the World Health Organization (WHO). The virus first originated in Wuhan (China) and rapidly affected most of th...
CODENET: A deep learning model for COVID-19 detection.
Computers in biology and medicine
Feb 29, 2024
Conventional COVID-19 testing methods have some flaws: they are expensive and time-consuming. Chest X-ray (CXR) diagnostic approaches can alleviate these flaws to some extent. However, there is no accurate and practical automatic diagnostic framework...
Explainable deep learning diagnostic system for prediction of lung disease from medical images.
Computers in biology and medicine
Jan 19, 2024
Around the globe, respiratory lung diseases pose a severe threat to human survival. Based on a central goal to reduce contiguous transmission from infected to healthy persons, several technologies have evolved for diagnosing lung pathologies. One of ...
"KAIZEN" method realizing implementation of deep-learning models for COVID-19 CT diagnosis in real world hospitals.
Scientific reports
Jan 19, 2024
Numerous COVID-19 diagnostic imaging Artificial Intelligence (AI) studies exist. However, none of their models were of potential clinical use, primarily owing to methodological defects and the lack of implementation considerations for inference. In t...
Potential diagnostic application of a novel deep learning- based approach for COVID-19.
Scientific reports
Jan 2, 2024
COVID-19 is a highly communicable respiratory illness caused by the novel coronavirus SARS-CoV-2, which has had a significant impact on global public health and the economy. Detecting COVID-19 patients during a pandemic with limited medical facilitie...
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