AIMC Topic:
SARS-CoV-2
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Diagnostic accuracy of artificial intelligence-based multi-spectrum analysis for molecular fingerprint detection of SARS-CoV-2.
Medicine
May 23, 2025
Reverse transcription-polymerase chain reaction (RT-PCR) is the reference standard for COVID-19 diagnosis, but the need for rapid, reproducible, and cost-effective diagnostic tools remains. This study investigated the diagnostic performance of a nove...
Artificial Intelligence Powered Audiomics: The Futuristic Biomarker in Pulmonary Medicine - A State-of-the-Art Review.
Studies in health technology and informatics
May 15, 2025
AI-driven "audiomics" leverages voice and respiratory sounds as non-invasive biomarkers to diagnose and manage pulmonary conditions, including COVID-19, tuberculosis, ILD, asthma, and COPD. By analyzing acoustic features, machine and deep learning en...
Nursing Faculty and Students' Satisfaction With Telepresence Robots During the COVID-19 Pandemic.
Nurse educator
May 13, 2025
BACKGROUND: Telepresence robots provide real-time audio, video, and mobility features, allowing faculty and students to engage in learning experiences without being physically present.
AI-Based Quantitative CT Analysis of Temporal Changes According to Disease Severity in COVID-19 Pneumonia.
Journal of computer assisted tomography
May 13, 2025
OBJECTIVE: To quantitatively evaluate computed tomography (CT) parameters of coronavirus disease 2019 (COVID-19) pneumonia an artificial intelligence (AI)-based software in different clinical severity groups during the disease course.
COVID-19
Retrospective Studies
Tomography, X-Ray Computed
Female
Reproducibility of Results
SARS-CoV-2
Aged
Aged, 80 and over
Adolescent
Humans
Evaluation Studies as Topic
Artificial Intelligence
Radiographic Image Interpretation, Computer-Assisted
Time
Young Adult
Adult
Sensitivity and Specificity
Male
Middle Aged
Lung
Severity of Illness Index
[Chest radiological lesions in COVID-19 : from classical imaging to artificial intelligence].
Revue medicale de Liege
May 13, 2025
In the course of the pandemic induced by the appearance of a new coronavirus (SARS-CoV-2; COVID-19) causing acute respiratory distress syndrome (ARDS), we had to rethink the diagnostic approach for patients suffering from respiratory symptoms. Indeed...
Using machine learning models to predict the impact of template mismatches on polymerase chain reaction assay performance.
Scientific reports
May 9, 2025
Molecular assays are critical tools for the diagnosis of infectious diseases. These assays have been extremely valuable during the COVID pandemic, used to guide both patient management and infection control strategies. Sustained transmission and unhi...
Diagnostic biomarkers and immune infiltration profiles common to COVID-19, acute myocardial infarction and acute ischaemic stroke using bioinformatics methods and machine learning.
BMC neurology
May 8, 2025
BACKGROUND: COVID-19 is a disease that affects people globally. Beyond affecting the respiratory system, COVID-19 patients are at an elevated risk for both venous and arterial thrombosis. This heightened risk contributes to an increased probability o...
[Advances in pulmonary pathology in China over the past ten years: retrospect and prospect].
Zhonghua bing li xue za zhi = Chinese journal of pathology
May 8, 2025
Over the past decade, China has made remarkable achievements in the updating of molecular characteristics and diagnostic criteria of lung cancer, pathological characteristics of COVID-19, classification scheme of interstitial lung disease, applicatio...
Artificial Intelligence Assessment of Chest Radiographs for COVID-19.
Clinical lymphoma, myeloma & leukemia
May 1, 2025
BACKGROUND: The sensitivity of reverse-transcription polymerase chain reaction (RT-PCR) is limited for diagnosis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Chest computed tomography (CT) is reported to have high sensitivity; how...
Using Machine Learning to Predict Uptake to an Online Self-Guided Intervention for Stress During the COVID-19 Pandemic.
Stress and health : journal of the International Society for the Investigation of Stress
Apr 1, 2025
Online self-guided interventions appear efficacious for alleviating some mental health concerns. However, among persons who are offered online interventions, only a fraction access them (i.e., achieve uptake). Machine learning methods may be useful t...
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