Tokyo, Dec. 31 -- UMIN Clinical Trials Registry (UMIN-CTR) received information related to the study (UMIN000058921) titled 'Development of an AI Model for Detecting Heart Failure from Fundus Images' on Dec. 31.
Study Type:
Observational
Primary Sponsor:
Institute - The University of Tokyo Hospital
Condition:
Condition - Heart failure
Classification by malignancy - Others
Genomic information - NO
Objective:
Narrative objectives1 - Fundus findings, including retinal arteries, may contain information on the early stages of heart disease. This study aims to develop an artificial intelligence (AI) model that can automatically predict heart failure using fundus images obtained non-invasively with a non-mydriatic fundus camera.
Basic objectives2 - Safety,Efficacy
Eligibility:
Age-lower limit - 20
years-old
<=
Age-upper limit - Not applicable
Gender - Male and Female
Key inclusion criteria - (1) Adults aged 20 years or older
(2)Patients with cardiovascular disease who are outpatients or inpatients at the Department of Cardiovascular Medicine, The University of Tokyo Hospital, or Moriyama Memorial Hospital
(3)Employees of the Meiji Yasuda Health Insurance Association who undergo health checkups
Participants who meet criterion (1) and either (2) or (3), and who provide informed consent to participate in this study, will be included.
Key exclusion criteria - Patients who do not provide informed consent to participate in the study
Target Size - 400
Recruitment Status:
Recruitment status - Enrolling by invitation
Date of protocol fixation - 2024 Year 08 Month 01 Day
Date of IRB - 2024 Year 10 Month 21 Day
Anticipated trial start date - 2025 Year 04 Month 01 Day
Last follow-up date - 2027 Year 03 Month 31 Day
To know more, visit https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000067387
Disclaimer: Curated by HT Syndication.
