Accuracy of diagnostic-support artificial intelligence interpretation to detect interstitial pneumonia in the medical examination

Accuracy of diagnostic-support artificial intelligence interpretation to detect interstitial pneumonia in the medical examination - Accuracy of diagnostic-support artificial intelligence interpretation to detect interstitial pneumonia in the medical examination

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000043855

Enrollment

3770

Registered

2021-04-09

Start date

2021-06-29

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

Interstitial lung disease

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Subjects aged >=50 years who visit Sapporo Fukujyuji Medical Health Center or Hokkaido Cancer Society Medical Health Center or Shin-yurigaoka General Hospital for the medical health check up from the approval day by the president to Dec 31, 2022.

Exclusion criteria

Exclusion criteria: Subjects who refuse written consent and do not undergo chest X-ray and/or blood examination. To maintain anonymization, elderly subjects aged >100 years, and those with very rares disease (i.e., <= 10 subjects in the database) will also be excluded.

Design outcomes

Primary

Measure	Time frame
The sensitivity, specificity, positive predictive value and negative predictive value of the AI engine to detect interstitial lung diseases in the medical health check up examination.	—

Secondary

Measure	Time frame
The estimated prevalence of interstitial lung diseases in this cohort. The comparison of the detection ability between the AI engine and human doctors.	—

Countries

Japan

Contacts

Public ContactHirotaka Nishikiori

Sapporo Medical University, School of Medicine Department of Respiratory Medicine and Allergology

hnishiki@sapmed.ac.jp011-611-2111

Outcome results