UMIN-CTR Clinical Trial

Recruitment status No longer recruiting
Unique ID issued by UMIN UMIN000044660
Receipt No. R000051004
Scientific Title Developing an iOS application that uses machine learning for the automated diagnosis of blepharoptosis
Date of disclosure of the study information 2021/06/25
Last modified on 2021/06/25 (Ver. 1)

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Basic information
Public title Developing an iOS application that uses machine learning for the automated diagnosis of blepharoptosis
Acronym automated diagnosis of blepharoptosis
Scientific Title Developing an iOS application that uses machine learning for the automated diagnosis of blepharoptosis
Scientific Title:Acronym automated diagnosis of blepharoptosis
Region
Japan

Condition
Condition blepharoptosis
Classification by specialty
Ophthalmology
Classification by malignancy Others
Genomic information NO

Objectives
Narrative objectives1 To assess the performance of artificial intelligence in the automated classification of images taken with a tablet device of blepharoptosis patients and subjects with normal eyelid.
Basic objectives2 Efficacy
Basic objectives -Others
Trial characteristics_1
Trial characteristics_2
Developmental phase

Assessment
Primary outcomes Sensitivity , Specificity
Key secondary outcomes

Base
Study type Observational

Study design
Basic design
Randomization
Randomization unit
Blinding
Control
Stratification
Dynamic allocation
Institution consideration
Blocking
Concealment

Intervention
No. of arms
Purpose of intervention
Type of intervention
Interventions/Control_1
Interventions/Control_2
Interventions/Control_3
Interventions/Control_4
Interventions/Control_5
Interventions/Control_6
Interventions/Control_7
Interventions/Control_8
Interventions/Control_9
Interventions/Control_10

Eligibility
Age-lower limit
20 years-old <=
Age-upper limit
100 years-old >=
Gender Male and Female
Key inclusion criteria blepharoptosis
Key exclusion criteria Trauma
Target sample size 1000

Research contact person
Name of lead principal investigator
1st name Daisuke
Middle name
Last name Nagasato
Organization Tsukazaki Hospital
Division name Ophthalmology
Zip code 671-1227
Address 68-1 Waku Aboshiku Himeji City
TEL 0792728555
Email d.nagasato@tsukazaki-eye.net

Public contact
Name of contact person
1st name Daisuke
Middle name
Last name Nagasato
Organization Tsukazaki Hospital
Division name Ophthalmology
Zip code 671-1227
Address 68-1 Waku Aboshiku Himeji City
TEL 0792728555
Homepage URL
Email d.nagasato@tsukazaki-eye.net

Sponsor
Institute Tsukazaki Hospital
Institute
Department

Funding Source
Organization non
Organization
Division
Category of Funding Organization Other
Nationality of Funding Organization

Other related organizations
Co-sponsor
Name of secondary funder(s)

IRB Contact (For public release)
Organization Tsukazaki Hospital
Address 68-1 Waku Aboshiku Himeji City
Tel 0792728555
Email d.nagasato@tsukazaki-eye.net

Secondary IDs
Secondary IDs NO
Study ID_1
Org. issuing International ID_1
Study ID_2
Org. issuing International ID_2
IND to MHLW

Institutions
Institutions

Other administrative information
Date of disclosure of the study information
2021 Year 06 Month 25 Day

Related information
URL releasing protocol
Publication of results Unpublished

Result
URL related to results and publications
Number of participants that the trial has enrolled 606
Results
Results date posted
Results Delayed
Results Delay Reason
Date of the first journal publication of results
Baseline Characteristics
Participant flow
Adverse events
Outcome measures
Plan to share IPD
IPD sharing Plan description

Progress
Recruitment status No longer recruiting
Date of protocol fixation
2017 Year 10 Month 01 Day
Date of IRB
2017 Year 10 Month 01 Day
Anticipated trial start date
2017 Year 10 Month 18 Day
Last follow-up date
2021 Year 01 Month 08 Day
Date of closure to data entry
Date trial data considered complete
Date analysis concluded

Other
Other related information non

Management information
Registered date
2021 Year 06 Month 25 Day
Last modified on
2021 Year 06 Month 25 Day


Link to view the page
URL(English) https://upload.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000051004