Unique ID issued by UMIN | UMIN000049694 |
---|---|
Receipt number | R000056602 |
Scientific Title | Accuracy validation of AI-assisted diagnosis for influenza during the novel coronavirus disease pandemic. |
Date of disclosure of the study information | 2022/12/05 |
Last modified on | 2025/03/31 12:00:26 |
Accuracy validation of AI-assisted diagnosis for influenza during the novel coronavirus disease (COVID-19) pandemic.
nodoca 2022-1
Accuracy validation of AI-assisted diagnosis for influenza during the novel coronavirus disease pandemic.
nodoca 2022-1
Japan |
COVID-19, Influenza
Medicine in general | Infectious disease | Pediatrics |
Laboratory medicine | Emergency medicine |
Others
NO
To assess the sensitivity and specificity of nodoca.
Efficacy
The sensitivity and specificity of Influenza AI compared to RT-PCR analysis for influenza.
Observational
3 | years-old | <= |
Not applicable |
Male and Female
(1) Patients with written consent to participate in the study provided by themselves or their representatives.
(2) Patients aged three years or older.
(3) Patients with influenza-like symptoms within 48 hours after onset.
(4) Patients whose nasopharyngeal swabs were collected for RT-PCR testing of influenza within six hours prior to imaging, or patients whose nasopharyngeal swabs are scheduled to be collected for RT-PCR testing of influenza within six hours after the imaging.
(5) Patients whose nasopharyngeal swabs were collected for RT-PCR testing of SARS-CoV-2 within six hours before imaging, or patients whose nasopharyngeal swabs are scheduled to be collected for RT-PCR testing of SARS-CoV-2 within six hours after the imaging.
(1) Patients with fluctuating teeth.
(2) Patients with moderate or severe dental diseases.
(3) Patients who underwent oropharyngeal procedure such as oropharyngeal swab collection within six hours.
(4) Patients who have been vomiting repeatedly.
(5) Patients judged to be inappropriate to participate in the study by the physician.
300
1st name | Takahiro |
Middle name | |
Last name | Mikawa |
Yamanashi Prefectural Central Hospital
Department of General Internal Medicine and Infectious Diseases
400-8506
1-1-1 Fujimi, Kofu City, Yamanashi, Japan.
055-253-7111
mikawa-bfhh@ych.pref.yamanashi.jp
1st name | Takahiro |
Middle name | |
Last name | Mikawa |
Yamanashi Prefectural Central Hospital
Department of General Internal Medicine and Infectious Diseases
400-8506
1-1-1 Fujimi, Kofu City, Yamanashi, Japan.
055-253-7111
mikawa-bfhh@ych.pref.yamanashi.jp
Yamanashi Prefectural Central Hospital
Yamanashi Prefecture
Local Government
Aillis, Inc., University of Yamanashi Hospital
Aillis, Inc.
Yamanashi Prefectural Central Hospital IRB
1-1-1 Fujimi, Kofu City, Yamanashi, Japan.
055-253-7111
clinical-research@ych.pref.yamanashi.jp
NO
2022 | Year | 12 | Month | 05 | Day |
Unpublished
108
Delay expected |
Resubmitting after rejection
No longer recruiting
2022 | Year | 10 | Month | 31 | Day |
2022 | Year | 11 | Month | 16 | Day |
2022 | Year | 12 | Month | 23 | Day |
2023 | Year | 02 | Month | 28 | Day |
2023 | Year | 02 | Month | 28 | Day |
2023 | Year | 07 | Month | 26 | Day |
To compare the results of nodoca with RT-PCR analysis.
2022 | Year | 12 | Month | 05 | Day |
2025 | Year | 03 | Month | 31 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000056602