AI-based instruments in child development monitoring and in preventive treatment of chronic illnesses in childhood and adolescence
- Conditions
- Artificial intelligenceprevention 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
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
- 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
Name Time Method 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
Name Time Method Review of hypothesis based on the results of the focus group discussions using questionnaires.