Digital Biomarkers for Depression: French Trial Tests Computer Vision to Assess Severe Depression in Hospitalised Patients

References

1. 1.University Hospital, Lille. (2024). Evaluation of New Computer Vision Methods to Characterize Depression Severity in Patients Hospitalized for Severe Depression. ClinicalTrials.gov. NCT06095310. https://clinicaltrials.gov/study/NCT06095310
2. 2.Hamilton, M. (1960). A rating scale for depression. Journal of Neurology, Neurosurgery & Psychiatry, 23(1), 56-62. https://doi.org/10.1136/jnnp.23.1.56
3. 3.Torous, J., Staples, P., & Onnela, J. P. (2015). Realizing the potential of mobile mental health: new methods for new data in psychiatry. Current Psychiatry Reports, 17(8), 602. https://doi.org/10.1007/s11920-015-0602-0
4. 4.Jacobson, N. C., & Chung, Y. J. (2019). Passive sensing of prediction of moment-to-moment depressed mood among undergraduates with clinical levels of depression. Sensors, 19(15), 3572. https://doi.org/10.3390/s19153572
5. 5.World Health Organization. (2023). Depressive disorder (depression). WHO Fact Sheets. https://www.who.int/news-room/fact-sheets/detail/depression
6. 6.Kroenke, K., Spitzer, R. L., & Williams, J. B. (2001). The PHQ-9: validity of a brief depression severity measure. Journal of General Internal Medicine, 16(9), 606-613. https://doi.org/10.1046/j.1525-1497.2001.016009606.x