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Tracking of Nutritional Intake using Artificial Intelligence (TONI-AI)

Tracking of Nutritional Intake using Artificial Intelligence (TONI-AI) - TONI-AI

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
NL-OMON
Registry ID
NL-OMON49938
Enrollment
4
Registered
2021-10-04
Start date
2021-12-09
Completion date
Unknown
Last updated
2024-04-15

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

Conditions

binge eating disorder

Interventions

None listed

Sponsors

5M ICT
Lead Sponsor

Eligibility

Age
18 Years to 64 Years

Inclusion criteria

Inclusion criteria: - A DSM 5 binge eating disorder diagnosis - Being in treatment for BED at the Centre for Eating Disorders - Age 18-64

Exclusion criteria

Exclusion criteria: - Having a history of another eating disorder than BED - Age 64

Design outcomes

Primary

MeasureTime frame
Feasibility/acceptability, including completion rates (% of monitored mealtimes), satisfaction ratings, service user feedback, user requirements and dieting behavior; Calorie intake as tracked via the app; Weight: Patients are weighed once every month as a standard procedure during treatment.

Countries

Netherlands

Outcome results

None listed

Source: NL-OMON (via WHO ICTRP)