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Name:
UMIN ID:

Recruitment status Preinitiation
Unique ID issued by UMIN UMIN000031333
Receipt No. R000035639
Scientific Title Construction of diagnostic support system using artificial intelligence by community collaboration, medical and engineering cooperation
Date of disclosure of the study information 2018/02/19
Last modified on 2018/02/16

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Basic information
Public title Construction of diagnostic support system using artificial intelligence by community collaboration, medical and engineering cooperation
Acronym Construction of diagnostic support system with artificial intelligence by community and medical engineering collaboration
Scientific Title Construction of diagnostic support system using artificial intelligence by community collaboration, medical and engineering cooperation
Scientific Title:Acronym Construction of diagnostic support system with artificial intelligence by community and medical engineering collaboration
Region
Japan

Condition
Condition Malignant tumor
Classification by specialty
Radiology Adult
Classification by malignancy Malignancy
Genomic information NO

Objectives
Narrative objectives1 We aim to develop a simple and more accurate diagnosis support system by applying Deep Learning method of artificial intelligence Convolution Neural Network (CNN) to image and patient information.
Basic objectives2 Efficacy
Basic objectives -Others
Trial characteristics_1
Trial characteristics_2
Developmental phase

Assessment
Primary outcomes accuracy
Key secondary outcomes Specificity
Sensitivity
Agreement of abnormal lesion

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

Not applicable
Age-upper limit

Not applicable
Gender Male and Female
Key inclusion criteria The case that performed CT, MRI, radioisotope examination by inspection about iamge diagnosis from December 1, 2012 to November 30, 2017 for the past 5 years in the medical facilities of the coworker, and performed normalcy and an abnormality definitive diagnosis.
Key exclusion criteria The case that do not save with DICOM format.
Target sample size 10000

Research contact person
Name of lead principal investigator
1st name
Middle name
Last name Akihiro Kikuchi
Organization Hokkaido University of Science
Division name Department of Radiological Technology Faculty of Health Sciences,
Zip code
Address Maeda 7-15-4-1, Teina, Sapporo, Hokkaido
TEL 011-688-2382
Email kikuchi-a@hus.ac.jp

Public contact
Name of contact person
1st name
Middle name
Last name Akihiro Kikuchi
Organization Hokkaido University of Science
Division name Department of Radiological Technology Faculty of Health Sciences,
Zip code
Address Maeda 7-15-4-1, Teina, Sapporo, Hokkaido
TEL 011-688-2382
Homepage URL
Email kikuchi-a@hus.ac.jp

Sponsor
Institute Hokkaido University of Science
Institute
Department

Funding Source
Organization Hokkaido University of Science
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
Address
Tel
Email

Secondary IDs
Secondary IDs YES
Study ID_1 2017-1
Org. issuing International ID_1 Hokkaido Ono Memorial Hospital
Study ID_2
Org. issuing International ID_2
IND to MHLW

Institutions
Institutions

Other administrative information
Date of disclosure of the study information
2018 Year 02 Month 19 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
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 Preinitiation
Date of protocol fixation
2018 Year 02 Month 13 Day
Date of IRB
Anticipated trial start date
2018 Year 02 Month 19 Day
Last follow-up date
Date of closure to data entry
Date trial data considered complete
Date analysis concluded

Other
Other related information Even if it does not reach the target registration number, it will end at that point.

Management information
Registered date
2018 Year 02 Month 16 Day
Last modified on
2018 Year 02 Month 16 Day


Link to view the page
URL(English) https://upload.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000035639

Research Plan
Registered date File name

Research case data specifications
Registered date File name

Research case data
Registered date File name


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