Construction of diagnostic support system using artificial intelligence by community collaboration, medical and engineering cooperation

Construction of diagnostic support system using artificial intelligence by community collaboration, medical and engineering cooperation - Construction of diagnostic support system with artificial intelligence by community and medical engineering collaboration

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000031333

Enrollment

10000

Registered

2018-02-19

Start date

2018-02-19

Completion date

Unknown

Last updated

2026-06-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Malignant tumor

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

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.

Exclusion criteria

Exclusion criteria: The case that do not save with DICOM format.

Design outcomes

Primary

Measure	Time frame
accuracy	—

Secondary

Measure	Time frame
Specificity Sensitivity Agreement of abnormal lesion	—

Countries

Japan

Contacts

Public ContactAkihiro Kikuchi

Hokkaido University of Science Department of Radiological Technology Faculty of Health Sciences,

kikuchi-a@hus.ac.jp09087050691

Outcome results