In-Person On-Demand

Ethical AI in Mental Health Care: Advancements, Actionable Data, and the AI Dilemma for Clinical, Medical, and Tech Leaders

3.5 CE Hours / 3.0 On-Demand
General
Ethical AI in Mental Health Care: Advancements, Actionable Data, and the AI Dilemma for Clinical, Medical, and Tech Leaders

References

References

  • Grimm, B., Talbot, B., & Larsen, L. (2022). PHQ-V/GAD-V: Assessments to identify signals of depression and anxiety from patient video responses. Applied Sciences, 12(18), 9150. https://doi.org/10.3390/app12189150
  • Wang, J., Zhang, L., Liu, T., Pan, W., Hu, B., & Zhu, T. (2019). Acoustic differences between healthy and depressed people: A cross-situation study. BMC Psychiatry, 19(1). https://doi.org/10.1186/s12888-019-2300-7
  • Wu, T., Peng, J., Zhang, W., Zhang, H., Tan, S., Yi, F., Ma, C., & Huang, Y. (2022). Video sentiment analysis with bimodal information-augmented multi-head attention. Knowledge-Based Systems, 235, 107676. https://doi.org/10.1016/j.knosys.2021.107676