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Verification of predictability of medical examination results by AI (artificial intelligence) and usefulness for specific health guidance method

Verification of predictability of medical examination results by AI (artificial intelligence) and usefulness for specific health guidance method - Verification of predictability of medical examination results by AI (artificial intelligence) and usefulness for specific health guidance method

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
JPRN
Registry ID
JPRN-UMIN000049729
Enrollment
600
Registered
2022-12-09
Start date
2020-09-27
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

non-communicable diseases

Interventions

For the intervention group, the target to achieve weight loss recorded in the &quot
Lifestyle Improvement Record Chart&quot
will be shown to the examinee in actual improvement of laboratory values due to the lifestyle improvement indicated by the AI. With reference to this, the public health nurse and the subject consult a

Sponsors

Niigata University Graduate School of Medical & Dental Sciences
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Screening of examinees who are healthy persons who will undergo physical checkups from April 2020 to March 2021 and who have undergone tests for the required items and who are eligible for active support for specific health guidance are those who are eligible for active support.

Exclusion criteria

Exclusion criteria: Since AI predicts test values for the next year from this year's and last year's data, those who do not have last year's health checkup data are not eligible. Those who could not participate in health guidance due to reasons such as workplace changes (dropout cases), and those who refused informed consent (refusal cases) are considered.

Design outcomes

Primary

MeasureTime frame
Waist circumference, body weight, BMI, degree of improvement in health interest questionnaire after 3 months

Countries

Japan

Contacts

Public ContactKiminori Kato

Niigata University Graduate School of Medical & Dental Sciences Department of Prevention of Noncommunicable Diseases and Promotion of Health Checkup

kkato48@med.niigata-u.ac.jp+81-25-227-2117

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026