Unique ID issued by UMIN | UMIN000053885 |
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Receipt number | R000061496 |
Scientific Title | A Study on the development of image diagnosis technology using artificial intelligence (AI) for Chest X-ray |
Date of disclosure of the study information | 2024/03/18 |
Last modified on | 2024/03/18 13:08:29 |
A Study on the development of image diagnosis technology using artificial intelligence (AI) for Chest X-ray
A Study on the development of image diagnosis technology using artificial intelligence (AI) for Chest X-ray
A Study on the development of image diagnosis technology using artificial intelligence (AI) for Chest X-ray
A Study on the development of image diagnosis technology using artificial intelligence (AI) for Chest X-ray
Japan |
subjects with thoracic diseases
Medicine in general | Pneumology |
Others
NO
The aim is to perform chest X-ray examinations on individuals with thoracic diseases and compare and validate the interpretations between physician readings and artificial intelligence (AI) diagnosis.
Others
Compare thoracic diseases diagnosed through patient interviews with those diagnosed by AI, and validate the proportion of agreement.
Compare the interpretation results by physicians with the diagnostic outcomes by AI, and validate the proportion of agreement.
Compare thoracic diseases diagnosed through patient interviews with those diagnosed by AI, and validate the proportion of agreement.
Observational
18 | years-old | <= |
Not applicable |
Male and Female
1) Japanese male and female aged 18 years and older at the time of consent acquisition.
2) An individual with any of the following thoracic diseases.
pneumonia, interstitial pneumonia, bronchiolitis obliterans organizing pneumonia (BOOP), pulmonary abscess, pulmonary tuberculosis, atypical mycobacterial infection, pulmonary fungal infection, bronchiectasis, bronchiolitis, lung cancer, metastatic lung tumor, pleural tumor, mediastinal tumor, pulmonary fibrosis, pneumoconiosis, pulmonary alveolar proteinosis, pulmonary embolism, pulmonary arteriovenous fistula, pleurisy, empyema*, pneumothorax, pulmonary emphysema, mediastinal emphysema
*Settings to confirm that there are no abnormalities in the chest X-ray image even though it is not a chest disease.
3)Those who have received sufficient explanation about the purpose and content of the study and have signed the consent form before the start of the examination.
Individuals deemed inappropriate by the principal investigator for the examination and the sub investigator.
40
1st name | Toshiyuki |
Middle name | |
Last name | Kinbara |
Random Square Co., Ltd
IT dev.
812-0027
1-3 Shimokawabata-matchi,Hakata-ku,Fukuoka,Fukuoka,Japan
092-282-0118
kimbara.toshiyuki@randomsq.co.jp
1st name | Yoshihiro |
Middle name | |
Last name | Otake |
feileB Co., Ltd
Clinical Research Support dev.
170-0013
1-18-1 Higashiikebukuro Toshima-ku Tokyo Japan
03-4332-1770
otake@feileb.jp
Random Square Co., Ltd
Random Square Co., Ltd
Profit organization
NISHI-UMEDA Clinic for Asian Medical Collaboration Ethics Review Committee
Maruit Nishi-Umeda Building 3F, 3-3-45 Umeda, Kita-ku, Osaka, Osaka, Japan
06-4797-5660
nouchi@amc-clinic.jp
NO
2024 | Year | 03 | Month | 18 | Day |
Unpublished
Preinitiation
2023 | Year | 12 | Month | 11 | Day |
2024 | Year | 01 | Month | 18 | Day |
2024 | Year | 03 | Month | 19 | Day |
2024 | Year | 06 | Month | 30 | Day |
Gender, age, height, weight, medical history,Imaging findings
2024 | Year | 03 | Month | 18 | Day |
2024 | Year | 03 | Month | 18 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/icdr_e/ctr_view.cgi?recptno=R000061496
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