Voice-Based AI Stress Detection Trial in Type 1 Diabetes Suspended — Implications for Digital Health Monitoring

References

1. 1.American Diabetes Association. (2023). Standards of Care in Diabetes—2023 Abridged for Primary Care Providers. Clinical Diabetes, 41(1), 4-31. https://doi.org/10.2337/cd23-as01
2. 2.Centre d'Etudes et de Recherche pour l'Intensification du Traitement du Diabète. (2024). Development of Artificial Intelligence Tools for the Detection of Stress Markers and Consideration of Stress States in the Monitoring of Subjects With Type 1 Diabetes. ClinicalTrials.gov. NCT06985862. https://clinicaltrials.gov/study/NCT06985862
3. 3.Peyrot, M., Rubin, R. R., Lauritzen, T., Snoek, F. J., Matthews, D. R., & Skovlund, S. E. (2005). Psychosocial problems and barriers to improved diabetes management: results of the Cross-National Diabetes Attitudes, Wishes and Needs (DAWN) Study. Diabetic Medicine, 22(10), 1379-1385. https://doi.org/10.1111/j.1464-5491.2005.01644.x
4. 4.Schuller, B., Steidl, S., Batliner, A., Vinciarelli, A., Scherer, K., Ringeval, F., Cowie, R., Douglas-Cowie, E., Devillers, L., Noam, Y., Aharonson, V., & Potamianos, A. (2013). The INTERSPEECH 2013 computational paralinguistics challenge: social signals, conflict, emotion, autism. Proceedings of Interspeech, 148-152. https://doi.org/10.21437/Interspeech.2013-56
5. 5.Surwit, R. S., Schneider, M. S., & Feinglos, M. N. (1992). Stress and diabetes mellitus. Diabetes Care, 15(10), 1413-1422. https://doi.org/10.2337/diacare.15.10.1413