| Unique ID issued by UMIN | UMIN000059337 |
|---|---|
| Receipt number | R000067869 |
| Scientific Title | Real-world field studies aimed at implementing future ophthalmological examinations in society |
| Date of disclosure of the study information | 2025/10/09 |
| Last modified on | 2025/10/08 14:21:44 |
Real-world field studies aimed at implementing future ophthalmological examinations in society
Real-world field studies aimed at implementing future ophthalmological examinations in society
Real-world field studies aimed at implementing future ophthalmological examinations in society
Real-world field studies aimed at implementing future ophthalmological examinations in society
| Japan |
Individuals who underwent a medical examination at the Sendai Open Hospital Health Checkup Center and provided their consent to participate in the research
| Ophthalmology | Adult |
Others
NO
This study targets individuals undergoing health checkups. It aims to establish a system for predicting the risk of developing eye diseases and systemic diseases, as well as for early detection of potential onset, by introducing OCT examinations during health checkups and a remote fundus imaging interpretation system at an interpretation center. The study will verify prediction and detection methods and explore effective mechanisms.
Others
We have researched and developed AI-powered algorithms for disease screening and risk assessment using fundus imaging data. This study integrates these algorithms into a remote health screening system to validate a future-oriented screening platform in real-world settings. This platform facilitates the transmission of screening results and the optimization (tuning) of AI algorithms using screening data.
Confirmatory
Pragmatic
Not applicable
Evaluation of System Functionality and Accuracy
AI-predicted risks of atherosclerotic diseases and glaucoma from fundus and nailfold images, along with disease screening results, and their consistency with the presence of abnormal findings and Grade assessments during health examinations (cross-sectional evaluation)
Consistency between AI-predicted risks of atherosclerotic disease and glaucoma from fundus images and the actual incidence rates of these conditions within 10 years after image acquisition (longitudinal evaluation using historical data)
Percentage of image and other data meeting quality standards required for analysis
Evaluation of the correlation between disease risk and disease occurrence and the results of parameters calculated from background information (age, gender, medical history, etc.), health checkup results (blood tests, etc.), parameters calculated from fundus images and OCT examinations (vascular density, nerve thickness, etc.), ophthalmic findings (visual acuity, intraocular pressure, etc.), and parameters calculated from nail bed examination image evaluations
Evaluation of improvements in accuracy after updating fine-tuning training data and post-annotation
Functional verification of each system and assessment of system errors, malfunctions, and risk occurrence
Investigation of task processing times
Value Assessment of Future-Oriented Health Checkups: Concept, Platform, and System Evaluation
Confirmation of Implementation Structure: Identifying and Improving Issues in Structure, Workflow, and Operations
Task Processing Time Survey
Observational
| 18 | years-old | <= |
| Not applicable |
Male and Female
Individuals who visited the Sendai Open Hospital Health Checkup Center and provided their consent to participate in the research
(18 years of age or older)
(1) Individuals who cannot provide informed consent
(2) Patients with a history of photosensitivity
(3) Patients who have recently undergone photodynamic therapy (PDT) (Refer to the package insert of the administered photosensitizer for the prohibited period.)
(4) Patients currently taking medications with photosensitivity as a potential side effect
(5) Individuals with epilepsy
1500
| 1st name | Yu |
| Middle name | |
| Last name | Yokoyama |
Tohoku University Hospital
Department of Ophthalmology
980-8574
1-1 Seiryo-machi, Aoba-ku, Sendai , Miyagi , Japan
022-717-7294
yu.yokoyama.c4@tohoku.ac.jp
| 1st name | Yu |
| Middle name | |
| Last name | Yokoyama |
Tohoku University Hospital
Department of Ophthalmology
980-8574
1-1 Seiryo-machi, Aoba-ku, Sendai , Miyagi , Japan
022-717-7294
yu.yokoyama.c4@tohoku.ac.jp
Tohoku University Hospital
JST
Government offices of other countries
TOPCON CORPORATION
The Dai-ichi Life Insurance Company, Limited
TOPCON CORPORATION
The Dai-ichi Life Insurance Company, Limited
Ethics Committee Tohoku University Graduate School of Medicine
2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi
022-728-4105
ec-med@grp.tohoku.ac.jp
NO
東北大学病院
| 2025 | Year | 10 | Month | 09 | Day |
Unpublished
Preinitiation
| 2025 | Year | 07 | Month | 10 | Day |
| 2025 | Year | 08 | Month | 01 | Day |
| 2025 | Year | 10 | Month | 10 | Day |
| 2029 | Year | 03 | Month | 31 | Day |
This study targets individuals undergoing health checkups. It aims to establish a system for predicting the risk of developing eye diseases and systemic diseases, as well as for early detection of potential onset, through the introduction of OCT examinations during health checkups and a remote fundus imaging interpretation system at an interpretation center. The study will verify prediction and detection methods and explore effective mechanisms.
| 2025 | Year | 10 | Month | 08 | Day |
| 2025 | Year | 10 | Month | 08 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000067869