Usefulness of self-monitoring smartphone application for artificial intelligence-supported nutritional guidance in type 2 diabetes patients

Usefulness of self-monitoring smartphone application for artificial intelligence-supported nutritional guidance in type 2 diabetes patients - Usefulness of self-monitoring smartphone application for artificial intelligence-supported nutritional guidance in type 2 diabetes patients

Status

Active, not recruiting

Phases

Unknown

Study type

Interventional

Source

JPRN

Registry ID

JPRN-UMIN000032893

Enrollment

200

Registered

2018-06-06

Start date

2018-03-13

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

type 2 diabetes

Interventions

nutritional guidance based on data from smartphone application

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: type 2 diabetes a daily smartphone user written consent to participate in the research

Exclusion criteria

Exclusion criteria: pregnancy use other implantable medical devices such as pacemakers eGFR is less than 30 mL/min/1.73 m2 Patients who thought to be inappropriate to enter this study for some reasons by physician's judgments

Design outcomes

Primary

Measure	Time frame
Change in HbA1c at months 6 after the start of the study	—

Countries

Japan

Contacts

Public ContactAtsushi Suzuki

Fujita Health University Department of Endocrinology and Metabolism

aslapin@fujita-hu.ac.jp0562939242

Outcome results

None listed

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