MedPath

AI-based instruments in child development monitoring and in preventive treatment of chronic illnesses in childhood and adolescence

Recruiting
Conditions
Artificial intelligence
prevention in pediatric medical care
Registration Number
DRKS00034474
Lead Sponsor
niversitätsklinikum Düsseldorf, Klinik für Allgemeine Pädiatrie, Neonatologie und Kinderkardiologie
Brief Summary

Not available

Detailed Description

Not available

Recruitment & Eligibility

Status
Recruiting
Sex
All
Target Recruitment
300
Inclusion Criteria

General:
- Sufficient understanding of the German language
- Sufficient physical as well as mental general condition to participate in the study
- Informed consent forms have been signed

Focus groups:
- Focus groups for children and adolescents: Age 8 to 17 years
- There are no age restrictions regarding the other focus groups

Survey:
- Access to an electronic device to fill out the online questionnaires

Exclusion Criteria

- Declaration of consent is not available
- Lack of German language skills to fill out the questionnaires/to participate in focus groups

Study & Design

Study Type
observational
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
Evaluation of advantages and disadvantages, worries, fears and wishes in regard of the current and future use of artificial intelligence in child development monitoring and in monitoring and treatment of children and adolescents with chronic illnesses.
Secondary Outcome Measures
NameTimeMethod
Review of hypothesis based on the results of the focus group discussions using questionnaires.
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