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Reducing systematic review workload by artificial intelligence

Reducing systematic review workload by artificial intelligence - Reducing systematic review workload by artificial intelligence

Status
Active, not recruiting
Phases
Unknown
Study type
Unknown
Source
JPRN
Registry ID
JPRN-UMIN000032663
Enrollment
Unknown
Registered
2018-05-21
Start date
2018-05-21
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

Medicine in general

Interventions

None listed

Sponsors

University of Tokyo
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Systematic reviews and meta-analyses cited in clinical guidelines.

Exclusion criteria

Exclusion criteria: Lack of information

Design outcomes

Primary

MeasureTime frame
To reduce systematic review workload by artificial intelligence.—

Countries

Japan,Asia(except Japan),North America,South America,Australia,Europe,Africa

Contacts

Public ContactTomohide Yamada

University of Tokyo Department of Diabetes and Metabolic Diseases

bqx07367@yahoo.co.jp03-5800-8818

Outcome results

None listed

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