CovidResearchTrials by Shray Alag


CovidResearchTrials Covid 19 Research using Clinical Trials (Home Page)


RIA-device (Remote Investigation and Assessment)Wiki

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Clinical Trial MeSH HPO Drug Gene SNP Protein Mutation


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drug2204 Satisfaction evaluation Wiki 1.00

Correlated MeSH Terms (2)


Name (Synonyms) Correlation
D045169 Severe Acute Respiratory Syndrome NIH 0.05
D018352 Coronavirus Infections NIH 0.04

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Name (Synonyms) Correlation

There is one clinical trial.

Clinical Trials


1 Covid-19 Triage Using Camera-based AI

The vital signs are critical in assessing the severity and prognosis of infections, such as Covid-19. The devices used today for measuring the vital signs have to be in physical contact with the patients. There is an apparent risk of transferring infections from one patient to the next (or to healthcare professionals). This project aims to evaluate a new camera-based system for contactless measurement of vital signs as well as an artificial intelligence (AI) predicting hospitalization or death within 30 days. This particular study will evaluate the new system's ability without interfering with standard care of the patient.

NCT04383457 Coronavirus Infections Device: RIA-device (Remote Investigation and Assessment)
MeSH:Coronavirus Infections Severe Acute Respiratory Syndrome

Primary Outcomes

Description: Body temperature will be measured with the new camera based method as well as with a conventional ear thermometer. Both measurements will estimate the body temperature in degrees Celsius. The agreement between body temperature estimated with the new method and the reference method will be made using the statistical methods Bland-Altman plots and limits of agreement as the outcome.

Measure: Agreement between the new camera based method and reference standard to estimate body temperature

Time: Two minutes between measurements

Description: Heart rate will be measured with the new camera based method as well as with a conventional apparatus for measuring pulse rate. Both measurements will estimate the heart rate in beats per minute. The agreement between body temperature estimated with the new method and the reference method will be made using the statistical methods Bland-Altman plots and limits of agreement as the outcome.

Measure: Agreement between the new camera based method and reference standard to estimate heart rate

Time: Two minutes between measurements

Description: Blood oxygen saturation will be measured with the new camera based method as well as with a conventional apparatus for measuring blood oxygen saturation. Both measurements will estimate the blood oxygen saturation in percent (ranging from 0-100%). The agreement between blood oxygen saturation estimated with the new method and the reference method will be made using the statistical methods Bland-Altman plots and limits of agreement as the outcome.

Measure: Agreement between the new camera based method and reference standard to estimate blood oxygen saturation

Time: Two minutes between measurements

Description: Systolic blood pressure will be measured with the new camera based method as well as with a conventional apparatus for measuring systolic blood pressure. Both measurements will estimate the systolic blood pressure in mm Hg. The agreement between systolic blood pressure estimated with the new method and the reference method will be made using the statistical methods Bland-Altman plots and limits of agreement as the outcome.

Measure: Agreement between the new camera based method and reference standard to estimate systolic blood pressure

Time: Two minutes between measurements

Description: Diastolic blood pressure will be measured with the new camera based method as well as with a conventional apparatus for measuring diastolic blood pressure. Both measurements will estimate the diastolic blood pressure in mm Hg. The agreement between diastolic blood pressure estimated with the new method and the reference method will be made using the statistical methods Bland-Altman plots and limits of agreement as the outcome.

Measure: Agreement between the new camera based method and reference standard to estimate diastolic blood pressure

Time: Two minutes between measurements

Description: Respiratory rate will be measured with the new camera based method as well as manually using a stethoscope. Both measurements will estimate the respiratory rate in breath per minute. The agreement between respiratory rate estimated with the new method and the reference method will be made using the statistical methods Bland-Altman plots and limits of agreement as the outcome.

Measure: Agreement between the new camera based method and reference standard to estimate respiratory rate

Time: Two minutes between measurements

Secondary Outcomes

Description: An artificial intelligence (AI) algorithm will use 75% of patient observations of vital signs for training and the remaining 25% will be used to test the AIs predictive capabilities to predict hospital admission within 30 days. For each patient the AI will produce a probability (0-100%) for hospital admission within 30 days. These probabilities will undergo a receiver operating (ROC) analysis where area under curve (AUC) with 95% confidence interval will be the reported outcome measure.

Measure: Prediction of hospital admission using vital signs estimated using reference standard methods

Time: Hospital admission for any cause up until 30 days after inclusion

Description: An artificial intelligence (AI) algorithm will use 75% of patient observations of vital signs for training and the remaining 25% will be used to test the AIs predictive capabilities to predict death within 30 days. For each patient the AI will produce a probability (0-100%) for death within 30 days. These probabilities will undergo a receiver operating (ROC) analysis where area under curve (AUC) with 95% confidence interval will be the reported outcome measure.

Measure: Prediction of death using vital signs estimated using reference standard methods

Time: Death for any cause up until 30 days after inclusion

Description: An artificial intelligence (AI) algorithm will use 75% of patient observations of vital signs for training and the remaining 25% will be used to test the AIs predictive capabilities to predict hospital admission within 30 days. For each patient the AI will produce a probability (0-100%) for hospital admission within 30 days. These probabilities will undergo a receiver operating (ROC) analysis where area under curve (AUC) with 95% confidence interval will be the reported outcome measure.

Measure: Prediction of hospital admission using vital signs estimated using the new camera based method

Time: Hospital admission for any cause up until 30 days after inclusion

Description: An artificial intelligence (AI) algorithm will use 75% of patient observations of vital signs for training and the remaining 25% will be used to test the AIs predictive capabilities to predict death within 30 days. For each patient the AI will produce a probability (0-100%) for hospitalization within 30 days. These probabilities will undergo a receiver operating (ROC) analysis where area under curve (AUC) with 95% confidence interval will be the reported outcome measure.

Measure: Prediction of death using vital signs estimated using the new camera based method

Time: Death for any cause up until 30 days after inclusion

Description: An artificial intelligence (AI) algorithm will use 75% of patient observations of raw camera data for training and raw data from the remaining 25% of patients will be used to test the AIs predictive capabilities to predict hospital admission within 30 days. For each patient the AI will produce a probability (0-100%) for hospital admission within 30 days. These probabilities will undergo a receiver operating (ROC) analysis where area under curve (AUC) with 95% confidence interval will be the reported outcome measure.

Measure: Prediction of hospital admission using raw camera data

Time: Hospital admission for any cause up until 30 days after inclusion

Description: An artificial intelligence (AI) algorithm will use 75% of patient observations of raw camera data for training and raw data from the remaining 25% of patients will be used to test the AIs predictive capabilities to predict death within 30 days. For each patient the AI will produce a probability (0-100%) for death within 30 days. These probabilities will undergo a receiver operating (ROC) analysis where area under curve (AUC) with 95% confidence interval will be the reported outcome measure.

Measure: Prediction of death using raw camera data

Time: Death for any cause up until 30 days after inclusion


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