An AI-Assisted Tool to Predict Continuous Glucose Monitor Adherence in Children With Type 1 Diabetes in Oman: Protocol for a Multiphase Mixed Methods Translational Study

JMIR Research Protocols · Published 2026-06-25 · DOI 10.2196/99626

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Authors (18)

Thamra Al Ghafri, Saud Al Harthi, Asma Bait Ishaq, Huwaida Al Harthi, Maryam Al Muaini, Rahma Al-Ghadani, Ahmed Aljufaili, Mohamed Al Harb, Abdullah Al Saadi, Abdelhamid Abdessalem, Noushath Shaffi, Mohamed Ahmed, Said Jaboob, Nadia Al Maqbali, Moza Al-Shehhi, Talib Al Kalbani, Amal Al Shukaili, Jannat Al Harthi

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Publication details

Year

2026

Citation

Ghafri, T., Harthi, S., Ishaq, A., et al. (2026). An AI-Assisted Tool to Predict Continuous Glucose Monitor Adherence in Children With Type 1 Diabetes in Oman: Protocol for a Multiphase Mixed Methods Translational Study. JMIR Research Protocols. https://doi.org/10.2196/99626

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