Assisting the implementation of screening for type 1 diabetes by using artificial intelligence on publicly available data
Authors' conclusion
Overall, AI has the potential to revolutionise type 1 diabetes screening, in particular to help identify individuals who are at increased risk of disease and aid in the design of appropriate follow-up plans.
Study context
- Population
- Researchers and clinicians active in T1D, advising the ASSET consortium on artificial intelligence (AI) in T1D screening
- Outcome
- Role of AI in T1D screening
Recommendations
As reported in the abstract
- Experts debated key issues around T1D screening and the use of AI on longitudinal observational cohort data to design more individualised screening programmes
- Key issue: whether AI can use large publicly available data repositories to design screening that detects high-risk individuals early and enables clinical evaluation of preventive therapies
Original publication
Assisting the implementation of screening for type 1 diabetes by using artificial intelligence on publicly available data. Diabetologia. Published 14 February 2024. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →